Podcasts about human judgment

Making AI Reliable is the Greatest Challenge of the 2020s // MLOps Podcast #312 with Alon Bochman, CEO of RagMetrics.Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter Huge shout-out to  @RagMetrics  for sponsoring this episode!// AbstractDemetrios talks with Alon Bochman, CEO of RagMetrics, about testing in machine learning systems. Alon stresses the value of empirical evaluation over influencer advice, highlights the need for evolving benchmarks, and shares how to effectively involve subject matter experts without technical barriers. They also discuss using LLMs as judges and measuring their alignment with human evaluators.// BioAlon is a product leader with a fintech and adtech background, ex-Google, ex-Microsoft. Co-founded and sold a software company to Thomson Reuters for $30M, grew an AI consulting practice from 0 to over $ 1 Bn in 4 years. 20-year AI veteran, winner of three medals in model-building competitions. In a prior life, he was a top-performing hedge fund portfolio manager.Alon lives near NYC with his wife and two daughters. He is an avid reader, runner, and tennis player, an amateur piano player, and a retired chess player.// Related LinksWebsite: ragmetrics.ai~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Alon on LinkedIn: /alonbochmanTimestamps:[00:00] Alon's preferred coffee[00:15] Takeaways[00:47] Testing Multi-Agent Systems[05:55] Tracking ML Experiments[12:28] AI Eval Redundancy Balance[17:07] Handcrafted vs LLM Eval Tradeoffs[28:15] LLM Judging Mechanisms[36:03] AI and Human Judgment[38:55] Document Evaluation with LLM[42:08] Subject Matter Expertise in Co-Pilots[46:33] LLMs as Judges[51:40] LLM Evaluation Best Practices[55:26] LM Judge Evaluation Criteria[58:15] Visualizing AI Outputs[1:01:16] Wrap up

The Institute of Internal Auditors Presents: All Things Internal Audit Tech In this episode, Andrew Guasp talks with Alex Gacheche about the importance of emotional intelligence (EQ) in the internal audit profession, especially in the context of AI advancements. They discuss how EQ can enhance internal audit effectiveness, the role of empathy and communication, and the impact of cultural differences on EQ. From active listening to handling difficult conversations, this episode unpacks the human side of internal auditing. HOST:Andrew Guasp, CIA Senior Manager, Standards & Professional Guidance, The IIA GUEST:Alex Gacheche, CISAHead of Internal Audit, Information Security, Technology Infrastructure, Emerging Technology, and AI, Meta   Key Points Introduction [00:00–00:01:16] What Is Emotional Intelligence? [00:01:17–00:03:34] Human Judgment with AI [00:03:35–00:05:01] Balancing Hard and Soft Skills [00:05:02–00:06:27] Developing EQ in Auditing [00:08:42–00:11:51] EQ in Communication and Reporting [00:11:52–00:13:16] Training for EQ Skills [00:13:17–00:14:31] Blending AI and EQ [00:14:32–00:15:49] Resources to Grow EQ [00:15:50–00:18:24] Using EQ in Remediation [00:18:25–00:21:42] EQ in Planning and Information Gathering [00:21:43–00:24:01] Cultural Sensitivity and Word Choice [00:24:02–00:26:32] Leading Multigenerational Teams [00:26:33–00:30:17] EQ's Role in the AI Era [00:30:18–00:32:25] Leadership, Retention, and EQ [00:32:26–00:35:02] EQ in Walkthroughs and Meetings [00:35:03–00:40:47] Final Thoughts [00:40:48–00:41:53] The IIA Related Content Interested in this topic? Visit the links below for more resources:  2025 AuditSphere Virtual Conference Building a Better Auditor: The Powerful Synergy of EQ and AI Knowledge Centers: Artificial Intelligence 'Mastering Soft Skills in Internal Auditing,' All Things Internal Audit Podcast The IIA's Updated AI Auditing Framework Visit The IIA's website or YouTube channel for related topics and more. Follow All Things Internal Audit: Apple PodcastsSpotify LibsynDeezer

The Institute of Internal Auditors Presents: All Things Internal Audit Tech In this episode, Charles King talks with Imraan Mulla about the transformative potential of AI in internal auditing. They discuss AI's evolution from basic automation to advanced applications, the challenges of adoption, and the future of AI in internal auditing. The conversation also covers continuous monitoring, risk assessment, and the role of human judgment in an AI-driven world. HOST:Charles King, CIA, CPA, CFE, CIPP, Partner, AI in Internal Controls Leader, KPMG LLP GUEST: Imrankhan (Imraan) Mulla, Vice president, Analytics and Innovation, Capital One Key Points Introduction [00:00-00:00:21] AI's Evolution in Internal Auditing [00:21-01:08] Challenges of AI Adoption [01:08-02:16] Driving AI Adoption and ROI [02:16-04:31] The Future of Internal Audit with AI [04:31-05:57] Prioritizing Investments in AI [05:57-08:10] Continuous Monitoring and Targeted Audits [08:10-11:05] Flexible Audit Plans and Risk-based Auditing [11:05-12:29] Analyzing Unstructured Data [12:29-14:14] Human Judgment and AI [14:14-16:06] Building a Culture of Innovation [16:06-18:11] Internal Audit as a Beacon for Innovation [18:11-20:48] Agentic AI and Its Applications [20:48-22:49] Final Thoughts [22:49-23:19] The IIA Related Content Interested in this topic? Visit the links below for more resources:  2025 AuditSphere Virtual Conference Knowledge Centers: Artificial Intelligence Auditing the Cybersecurity Program Certificate Implementing The IIA's New Cybersecurity Topical Requirement Cybersecurity Topical Requirement "Undercover AI," Internal Auditor magazine  The IIA's Updated AI Auditing Framework Visit The IIA's website or YouTube channel for related topics and more. Follow All Things Internal Audit: Apple PodcastsSpotify LibsynDeezer

Send us a textSarah Fraser and Sophie Tidman discuss the varied responses to AI in organisations, noting a divide between those embracing it and those resistant. They highlight the importance of using AI as a stimulus for thinking rather than a replacement for human judgement. Thanks so much for listening! Keep in touch: Email us on mail@mayvin.co.uk Subscribe to our mailing list Visit our website Follow us on LinkedIn and Twitter

Pastors facing up to our imposter syndrome - navigating the noise that leads us to make bad decisions.As Pastors, we feel the pressure to have the right answers to people's questions.We want to be able to navigate the complexities of life and church and land everyone safely at the other end. People share with us and the hardest parts of their lives, they trust us with their most private issues, and time and their money.And they trust us that we will handle the most complex relationship difficulties with wisdom. We end up feeling like imposters. Who am I to lead the people of God?  And how can I have wisdom here? Archie Poulos from Sydney's Moore Theological College has found the secular book Noise: A Flaw in Human Judgment helpful as he has addressed these issues.The Church Cohttp://www.thechurchco.com is a website and app platform built specifically for churches. Reach Australia National ConferenceReach Australia's National Conference is happening from 19 to 22 May 2025 on the Central Coast of NSW. This year's theme is URGENT: The Necessary Task of Mission Before Christ Returns. For more info. Anglican AidAnglican Aid - To find out more about how to support Anglican Aid. Dominic Steele's preaching at Village Subscribe to Dominic Steele's weekly sermons from the Village Church website. Support the show--Become a regular financial supporter of The Pastor's Heart via Patreon.

Paul Magnone discusses the book "Decisions Over Decimals" and how uniting data intelligence with human judgment can lead to better innovation, action and transformation. Paul is Head of Global Strategic Alliances at Google and Co-Faculty Director and Adjunct Professor at Columbia Business School. Listen for three action items you can use today. Host, Kevin Craine Want to be a guest? DigitalTransformationPodcast.net/guest Want to be a sponsor? DigitalTransformationPodcast.net/sponsor

Welcome back to the Alt Goes Mainstream podcast.Today's episode is with a founder who is building mission-critical valuation and portfolio monitoring software for alternative asset managers.We are joined by Yann Magnan, the Co-Founder and CEO of 73 Strings, to discuss how valuation work and portfolio monitoring is moving from manual to automated and why that's so important for the industry. 73 Strings has leveraged AI and automation to more seamlessly and cost-effectively extract data, monitor portfolios, and streamline middle-office processes for valuations. 73 Strings works with a number of the industry's top alternative asset managers and has received investment from Blackstone, Fidelity International Strategic Ventures, and Broadhaven Ventures, amongst others.Yann has brought his experience as a senior member of the Duff & Phelps team, where he was EMEA Market Leader and member of the Global Operating Committee and as a Partner at EY's Transaction Advisory Services to help bring valuation and portfolio monitoring solutions into the mainstream.Yann and I had a fascinating conversation about how technology innovation is impacting private markets. We discussed:The challenges with manual valuation services businesses.How to create uniformity and standardization with private markets fund performance data.How AI is changing private markets post-investment reporting processes.Does automation in private markets help big funds or small funds more?The evolution of post-investment private markets market structure.The biggest technology innovation still missing from private markets.Why the growth of the wealth channel and evergreen funds increases the need for more streamlined reporting and valuation solutions.Thanks Yann for coming on the show to share your views and wisdom on private markets.A word from AGM podcast sponsor, Ultimus Fund SolutionsThis episode of Alt Goes Mainstream is brought to you by Ultimus Fund Solutions, a leading full-service fund administrator for asset managers in private and public markets. As private markets continue to move into the mainstream, the industry requires infrastructure solutions that help funds and investors keep pace. In an increasingly sophisticated financial marketplace, investment managers must navigate a growing array of challenges: elaborate fund structures, specialized strategies, evolving compliance requirements, a growing need for sophisticated reporting, and intensifying demands for transparency.To assist with these challenging opportunities, more and more fund sponsors and asset managers are turning to Ultimus, a leading service provider that blends high tech and high touch in unique and customized fund administration and middle office solutions for a diverse and growing universe of over 450 clients and 1,800 funds, representing $500 billion assets under administration, all handled by a team of over 1,000 professionals. Ultimus offers a wide range of capabilities across registered funds, private funds and public plans, as well as outsourced middle office services. Delivering operational excellence, Ultimus helps firms manage the ever-changing regulatory environment while meeting the needs of their institutional and retail investors. Ultimus provides comprehensive operational support and fund governance services to help managers successfully launch retail alternative products.Visit www.ultimusfundsolutions.com to learn more about Ultimus' technology enhanced services and solutions or contact Ultimus Executive Vice President of Business Development Gary Harris on email at gharris@ultimusfundsolutions.com.We thank Ultimus for their support of alts going mainstream.Show Notes00:00 Introduction and Sponsor Message01:56 Welcome to Alt Goes Mainstream02:05 Introducing Yann Magnan and 73 Strings03:56 Yann's Background in Valuation Services04:33 The Inefficiencies of Manual Valuation05:20 The Genesis of 73 Strings06:11 The Importance of Experience in Private Markets06:24 Automating Valuation Processes08:32 Challenges in Standardizing Valuation09:13 The Role of Human Judgment in Valuation10:24 AI's Potential in Valuation11:10 Accountability in Automated Valuation12:47 73 Strings' Data Handling and Partnerships14:07 Standardizing Data Across Portfolios15:44 Impact of Automation on Human Processes17:02 Growth of the Wealth Channel and Evergreen Funds17:59 Accelerating Need for Better Valuation Software19:37 Challenges of High-Frequency Reporting19:59 Technological Implications of Daily Valuation20:31 Private Assets and Technology Infrastructure20:44 Industry Resilience and Smart People20:59 Forefront Firms and Blackstone Partnership21:48 Valuation Process and Data Control23:11 Extensibility to Other Asset Classes24:12 73 Strings' Versatile Platform25:13 Howard Marks on Asset Allocation25:52 Atomic Unit of Value in Valuations27:31 Data Sharing Across Business Units30:24 Automation Benefits for Large and Small Firms31:33 Building Technology for Large Firms34:16 Trust and Experience in Client Relationships35:09 Strategic Investors and Their Value37:37 Industry Participation and Standardization39:13 Maturity and Cost of Technology40:22 Future of Data in Private Markets41:39 Convergence of Private and Public Markets42:11 Volatility and Transparency in Private Markets43:14 Attracting Retail Investors44:41 Conclusion and Final Thought

Our host Iman Mossavat invites Dr. Artin Entezarjou, a board-certified specialist in general medicine, to debate the role AI in medicine. He discusses AI's advancements in healthcare and its challenges in complex clinical scenarios. “Humans can outperform AI when questions aren't multiple choice, especially when psychosocial factors are involved,” Dr. Entezarjou says. His research comparing GPT-4 with human doctors shows that AI struggles with the complexity and context of real-world medicine. “When we want to make decisions in clinical practice, we need to consider more than just symptoms. We need to understand the patient's preferences and context,” he adds. Dr. Entezarjou emphasizes the importance of human judgment in healthcare, stating, “We're still the masters of knowing when we need more context. But this is rapidly changing.” He calls for AI systems that are robust, trustworthy, and intuitive, to support physicians rather than replace them. “AI can be superhuman in specific areas, but in general, we still need human judgment,” Dr. Entezarjou concludes. Dr. Entezarjou holds a Ph.D. from Lund University and is a postdoctoral researcher at the University of Gothenburg. He works at Tandem Health, a startup using large language models to automate administrative tasks for clinicians. Dr. Entezarjou has worked on eVisits in Swedish primary care, focusing on telemedicine, automated patient histories, and machine learning. Podcasts for Brainport featured by Radio 4 Brainport, 2025

What if your life's purpose was measured by something greater than human judgment? Embark on a profound exploration of 1 Corinthians, chapter 4, as we unpack the depth of Apostle Paul's teachings on trustworthiness, humility, and true judgment. Promising rich insights, this episode challenges the norms of human evaluation and invites you to reflect on the hidden motives of the heart. Paul's compelling message encourages believers to recognize every gift as a blessing received, urging a shift from arrogance to gratitude in our spiritual journey.Join us as we navigate Paul's heartfelt guidance to the Corinthians, likening his role to that of a nurturing father. His call for humility amidst the apostles' trials serves as a powerful reminder of enduring with grace. Look forward to Paul's anticipated visit to the Corinthians, not as a display of authority, but as an embodiment of love and gentleness. With a focus on the transformative power of God's Kingdom beyond mere words, this discussion offers timeless wisdom that inspires and challenges believers to seek genuine spiritual transformation.Support the showThe American Soul Podcasthttps://www.buzzsprout.com/1791934/subscribe

Caroline Miller shares the overlooked science that helps you pursue your most ambitious goals. — YOU'LL LEARN — 1) The top goal-setting myths to abandon immediately 2) The two types of goals and how to set them 3) The BRIDGE methodology for effective goal-setting Subscribe or visit AwesomeAtYourJob.com/ep1015 for clickable versions of the links below. — ABOUT CAROLINE — For over three decades, Caroline Adams Miller has been a pioneer with her groundbreaking work in the areas of the science of goal setting, grit, happiness, and success. She is recognized as one of the world's leading positive psychology experts on this research and how it can be applied to one's life and work for maximum transformation. She is the author of nine books, including My Name is Caroline, Getting Grit, Positively Caroline and Creating Your Best Life, which the "father of Positive Psychology," Dr. Martin Seligman, lauded in Flourish as "adding a major missing piece" to the world of goal setting. She is a magna cum laude graduate of Harvard University and attained one of the first 32 degrees in the world in Applied Positive Psychology from the University of Pennsylvania.• Book: Big Goals: The Science of Setting Them, Achieving Them, and Creating Your Best Life • Book: Getting Grit: The Evidence-Based Approach to Cultivating Passion, Perseverance, and Purpose • Book site: BigGoalsBook.com • Child Mind Institute: ChildMind.org • Website: CarolineMiller.com — RESOURCES MENTIONED IN THE SHOW — • Book: Noise: A Flaw in Human Judgment by Daniel Kahneman, Olivier Sibony, Cass Sunstein • Book: Woman's Inhumanity to Woman by Phyllis Chessler • Study: “Benefits of Frequent Positive Affect” by Sonja Lyubomirsky, Laura King, Ed Diener • Survey: VIA's Character Strengths Survey • Tool: Perplexity • Tool: Google Notebook — THANK YOU SPONSORS! — • Lingoda. Visit try.lingoda.com/Awesome50 and save up to 50% off with their biggest sale of the year!• Jenni Kayne. Use the code AWESOME15 to get 15% off your order!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Exploring AI Security and Strategy | Hashtag Trending Weekend Edition #3 In Episode 4 of our Project Synapse series, we delve into the intricacies of AI and generative AI, discussing pivotal issues such as AI security, corporate and departmental strategy for AI implementation, and the myths surrounding AI functionalities. Featuring insights from Marcel Gagné, an expert in open source and AI, and John Pinard, we explore the challenges companies face in deploying AI technologies, how to best utilize them, and the importance of critical thinking and prompt engineering in leveraging AI tools. Tune in for an engaging discussion on how AI is reshaping our interactions with technology and the necessary steps to harness its potential safely and effectively. 00:00 Introduction to Project Synapse 00:18 Meet Marcel Gagné: AI and Open Source Expert and John Pinard, VP and Cyber Security professional 01:10 AI Strategy and Implementation Challenges 02:18 Security Concerns in AI Deployment 04:41 Misconceptions and Myths about AI 05:46 AI in Cybersecurity: Opportunities and Risks 06:55 The Role of Headlines in AI Perception 10:34 Guardrails and Jailbreaking in AI 15:27 Data Security and AI Models 24:17 Summarizing Documents with AI 24:56 Leveraging Local Large Language Models 26:04 Maximizing Existing IT Resources 27:36 Critical Thinking in the Age of AI 28:36 AI's Role in Reducing Workload 30:23 The Importance of Validating AI Outputs 37:07 AI in Medical Diagnostics 39:56 Balancing AI and Human Judgment 42:32 Final Thoughts and Reflections

"So, we are very conscious of the fact that we license the content from other publications. And as I mentioned previously, we do that through licensing agreements. We are transparent with the publishers about what happens with their content. We ensure that they are being fairly compensated for the content that we use. But, as a result, when we started talking about how we wanted to use Gen AI, we actually felt that we had an obligation to go back to publishers and ask for additional licensing rights. Part of that, I think, is driven by the fact that Dow Jones is a publisher. We are a publisher ourselves. We are very protective of our content. We want to make sure that we understand what's happening with our content: Where is it going? Who is using it? And we want to be fairly compensated for it. So, if that's one of our core principles, then we also want to make sure that we treat all the other publishers exactly the same. One of the challenges has been that we had to go back to all publishers and ask for additional Gen AI licensing rights. The positive of that is that the content now available through Gen AI is actually fully licensed content. All publishers have given us permission to use their content for this specific use case." - Ingrid Vershuren Fresh out of the studio, Ingrid Verschuren, Executive Vice President of Data and AI and General Manager, EMEA, at Dow Jones, shares her journey from manually indexing news articles at Reuters to leading Factiva's transition into the era of generative AI. She explains the mental models and frameworks behind how Dow Jones uses AI to empower businesses with reliable data and insights and discusses the recent partnership with Google's Gemini model and explains how Dow Jones works with the other content publications, navigating the complexities of trust and business model innovation. Last but not least, Ingrid explains what great would look like for Factiva in the age of AI. Audio Episode Highlights: [0:46] Quote of the Day #QOTD by Ingrid Verschuren [2:19] Introduction to Ingrid Verschuren and Factiva [4:29] Career Lessons from Ingrid [5:58] Overview of Factiva [8:30] The Evolution of Factiva and AI [10:41] Applications of Generative AI for Factiva [13:37] Challenges and Opportunities with Generative AI [15:27] Safeguarding Against Misinformation [19:25] Partnership with Google and Gemini Model [21:29] Transparency and Auditability [24:24] Staying Agile with Generative AI [26:32] The Future of AI in Business Intelligence [27:48] The Role of Human Judgment in AI [28:59] What Great Looks Like for Factiva in the Age of Generative AI [29:43] Closing You can find Ingrid Verschuren, Executive Vice President, Data and AI and General Manager, EMEA at Dow Jones: https://www.linkedin.com/in/ingrid-verschuren-61a7684/ Podcast Information: Bernard Leong hosts and produces the show. Proper credits for the intro and end music: "Energetic Sports Drive" and the episode is mixed & edited in both video and audio format by G. Thomas Craig Analyse Asia Main Site: https://analyse.asia Analyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245 Analyse Asia YouTube: https://www.youtube.com/@AnalyseAsia Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/ Analyse Asia X (formerly known as Twitter): https://twitter.com/analyseasia Analyse Asia Threads: https://www.threads.net/@analyseasia Sign Up for Our This Week in Asia Newsletter: https://www.analyse.asia/#/portal/signup Subscribe Newsletter on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7149559878934540288

Are data-driven decisions overrated? On this special roundtable episode, we challenge the conventional wisdom that more data always leads to better outcomes. Our guests, Kevin McEvilly, Andrew Fox, and Mike Della Porta, discuss the pitfalls of relying solely on analytics and the importance of human insight in crafting successful marketing strategies. Are you ready to rethink your approach?Tune in to learn:Diversity is a significant challenge in the tech space.Agencies have always been technology-focused.The landscape of marketing is increasingly complicated.Investment in technology infrastructure is essential.Data governance is critical for effective decision-making.Human intuition plays a vital role alongside data.Organizations must adapt to rapid technological changes.Collaboration across departments enhances decision-making.The right questions lead to better insights and outcomes.Mentions:Della Porta ConsultingUnistaCanvas Worldwide--Imagine a world where your data flows like electricity—unseen, yet powering everything you do. A world where high availability, low latency, and disaster recovery are not just expectations but realities. Welcome to the future, powered by Zayo's network.In a world that never stops, Zayo is the network underneath it all, helping the most innovative and forward-thinking companies grow. Because Zayo doesn't just connect places, they connect possibilities. Zayo connects what's next for you.Discover the power of Zayo's network today. Visit https://go.zayo.com/network/itvisionaries Mission.org is a media studio producing content for world-class clients. Learn more at mission.org

Right About Now with Ryan AlfordJoin media personality and marketing expert Ryan Alford as he dives into dynamic conversations with top entrepreneurs, marketers, and influencers. "Right About Now" brings you actionable insights on business, marketing, and personal branding, helping you stay ahead in today's fast-paced digital world. Whether it's exploring how character and charisma can make millions or unveiling the strategies behind viral success, Ryan delivers a fresh perspective with every episode. Perfect for anyone looking to elevate their business game and unlock their full potential.Right About Now NewsletterFree Podcast Monetization CourseJoin The NetworkFollow Us On InstagramSubscribe To Our Youtube ChannelVibe Science MediaSUMMARYIn this episode of Weekly Business News, host Ryan Alford is joined by Chris Hansen and Brianna Hall for a lively and humorous discussion covering a wide range of topics. They explore the vibrant business atmosphere in Miami, the unpredictable weather patterns in South Carolina, and the growing appeal of electric vehicles. The conversation takes a deeper dive into GM's investment in lithium mining for EV batteries, Elon Musk's ambitious "Robo Van" project, and Tom Brady's new venture as a minority owner of the Las Vegas Raiders. Packed with personal stories, sharp insights, and dynamic exchanges, this episode offers both entertainment and valuable commentaryTAKEAWAYSImpact of tourism on local businesses, particularly in Miami.Weather variations and their effects on daily life and business.Discussion on electric vehicles and advancements in battery technology.The significance of domestic sourcing for electric vehicle materials.Celebrity involvement in sports franchises, focusing on Tom Brady's ownership of the Las Vegas Raiders.The implications of AI technology in taste testing and food development.Concerns about the future of food and reliance on engineered products.The role of AI in content moderation on social media platforms.Challenges and nuances of content moderation in the digital age.The balance between technology and human input in various industries. If you enjoyed this episode and want to learn more, join Ryan's newsletter https://ryanalford.com/newsletter/ to get Ferrari level advice daily for FREE. Learn how to build a 7 figure business from your personal brand by signing up for a FREE introduction to personal branding https://ryanalford.com/personalbranding. Learn more by visiting our website at www.ryanisright.comSubscribe to our YouTube channel www.youtube.com/@RightAboutNowwithRyanAlford.

In this episode, hosts Phil Seboa and Ed Fuentes welcome Yanesh Naidoo, the owner of Jendamark Automation. With over 20 years of experience in advanced manufacturing technologies, Yanesh discusses his approach to managing a plant, addressing common stressors, and the critical role trust in technology plays in optimizing operations. From his early days at Volkswagen to the current innovations driving Jendamark Automation, Yanesh shares insights into the intersection of AI, automation, and human-centric plant management. Perfect for industry professionals, tech enthusiasts, and anyone interested in the future of industrial automation. 01:24 Managing a Plant: Common Stressors 03:40 Real-life Breakdown: Phil's Maintenance Experience 06:58 Low Stock Challenges & Communication 09:10 Utilizing Data to Reduce Stress 11:32 Building Trust in Systems and Technology 14:17 The Potential of AI in Plant Management 17:05 Industrial Copilots and Real-time Insights 19:46 AI Asking AI: The Future Vision 22:23 Transformative Potential of ChatGPT 24:50 Human Judgment in AI-Assisted Decision Making 28:06 Yanesh's Personal Anecdote: Technology Enhancing Human Life 31:45 Automation and Human Involvement 34:32 Transitioning to Digitized, Paperless Operations 37:43 Reducing Operator Stress Without Job Loss 40:20 Key Data Collection and WhatsApp Integration 42:18 CEO vs. Middle Management: Resistance to Visibility 45:37 Empowering Operators with Data 47:59 Continuous Improvement and Active Involvement 49:53 Using Data for Actionable Insights 52:14 Innovation Trends in Manufacturing 55:00 Technical Optimizations and Digital Business Challenges 58:35 Financial Difficulties in Digital Transformation 1:01:27 Importance of Customer Education and Tailored Marketing 1:04:12 Revamping Education on YouTube 1:06:41 Jendamark Innovations: Low-code IT OT Integration 1:09:10 Mechanical Innovations and Reduced Changeover Time 1:12:33 Automotive Industry Challenges and IT OT Integration 1:15:20 Vision for Future Production Lines 1:17:54 Digital Augmentation and Prescriptive AI 1:20:45 Technologies to Reduce Operator Stress 1:23:30 Operators' Mindset and Technology Adoption 1:26:00 Digital vs. Automation: Upskilling Workers 1:28:29 Case Study: Overcoming Resistance to Digitization Connect with Yanesh on LinkedIn: https://www.linkedin.com/in/yaneshnaidoo/ Connect with Phil on LinkedIn: https://www.linkedin.com/in/phil-seboa/ Connect with Ed on LinkedIn: https://www.linkedin.com/in/ed-fuentes-2046121a/ Learn more about Jendamark Automation :https://www.jendamark.co.za/ About Industry Sage Media: Industry Sage Media is your backstage pass to industry experts and the conversations that are shaping the future of the manufacturing industry. Learn more at: http://www.industrysagemedia.com

First, Jack is curious about the latest IOS update.  Next--what the what?  Joe talks about an article regarding a Harvard study involving prevalence-induced concept change in human judgment.  See omnystudio.com/listener for privacy information.

Does it feel like the property market is moving faster than ever? These days, it seems like the strategies that worked 10, even 5 years ago seem less effective. It makes you wonder: What's really happening in the Australian property market right now? In this latest episode of Dashdot Insider, we're answering this question just for you. Traditional tactics might not be your best bet anymore. We talk about how tech, data, and a mix of solid fundamentals are changing the game, giving investors a clearer picture of where the opportunities are.  Our guest, Sean Simpson has been in the trenches, investigating more properties than anyone else in Australia. So, when he says the market is fundamentally shifting, it's time to pay attention. If you need help figuring out where to invest next or are still relying on outdated strategies, this episode is for you. You'll come away with a fresh perspective on why chasing the "next big thing" isn't always the answer—and how embracing change and the right tools can help you find your sweet spot. If you love this episode, email us at podcast@dashdot.com.au, and don't forget to subscribe, rate, and share this podcast!  See you on the inside!    In this episode, we cover: 00:00 Coming Up 02:19 How Property Investing Evolved & The Rise of Borderless Buying 04:36 Unlocking Market Insights & Shifting Dynamics 12:24 Nailing Market Entry with Smart Fundamental Analysis 24:24 Strategies to Stay Ahead of Market Trends 29:29 Adapting Your Game Plan as the Market Changes 29:44 The Power of Data & Human Judgment in Investing 31:18 Spotting Gold: Investing in Undervalued Areas 31:51 Why Sticking to Principles Pays Off 32:06 How Tech is Changing the Property Investment Game   Connect With Us: Free Rentvesting Calculator (https://dashdot.com.au/rentvesting)  Subscribe on Youtube (https://www.youtube.com/@dashdotinsider)  Listen on Spotify (https://spoti.fi/3Np19x8) Dashdot Website (https://www.dashdot.com.au/) Ready to work with us directly? (https://dashdot.com.au/discovery) Get your Property Portfolio Growth Plan (https://dashdot.com.au/portfoliogrowthplan) See omnystudio.com/listener for privacy information.

Chapter 1:Summary of NoiseIn "Noise," Daniel Kahneman discusses the concept of noise, which refers to unwanted variability in judgments made by different individuals assessing the same situation. He argues that noise can have a significant impact on decision-making, often leading to inconsistencies and errors.Kahneman shows that noise is prevalent in various fields, from medicine to law to finance, and can have negative consequences on outcomes. He points out that while people are aware of the dangers of bias in decision-making, they often overlook the issue of noise.The author offers ways to reduce noise, such as creating decision-making guidelines and using algorithms to make judgments more consistent. He also suggests that organizations should be more transparent and open about their decision-making processes to prevent noise from affecting their outcomes.Overall, "Noise" highlights the importance of recognizing and addressing the issue of noise in decision-making to improve outcomes and reduce errors.Chapter 2:The Theme of NoiseKey plot points:1. The story follows the protagonist, a psychologist named Jordan, who is conducting research on the impact of noise on decision making.2. Jordan discovers that noise – unpredictable variability in judgments made by different individuals or groups on the same problem – can have a significant impact on decision making, even more so than bias.3. Jordan's research leads him to question the validity of traditional decision-making processes, as he realizes that noise can result in inconsistent and unreliable outcomes.Character development:1. Jordan is a meticulous and analytical thinker, dedicated to his research and committed to uncovering the truth about noise and its impact on decision making.2. As Jordan delves deeper into his research, he becomes increasingly disillusioned with traditional decision-making processes and begins to question the reliability of human judgment.3. Jordan's journey forces him to confront his own biases and preconceived notions, as he grapples with the implications of his findings on his own work and beliefs.Thematic ideas:1. The impact of noise on decision making: The novel explores how seemingly minor variations in judgments can have significant consequences on decision making, highlighting the importance of minimizing noise in order to improve outcomes.2. The fallibility of human judgment: Through Jordan's research, the novel challenges the notion of human rationality and highlights the inherent biases and inconsistencies in decision-making processes.3. The importance of evidence-based decision making: Noise emphasizes the value of using data and evidence to inform decision making, rather than relying on intuition or gut feelings.Chapter 3:Meet the Writer of NoiseIn his book "Noise: A Flaw in Human Judgment," Nobel laureate Daniel Kahneman masterfully employs his writing skills and language style to convey the complex emotions and meanings associated with the concept of noise.Kahneman's writing is clear, concise, and accessible, making it easy for readers to understand the intricate concepts he presents. He uses simple language to explain complex ideas, which helps to demystify the subject matter and make it more relatable to a wide audience. This approach allows Kahneman to effectively communicate the significance of noise in decision-making processes without overwhelming readers with technical jargon.Moreover, Kahneman's writing style is engaging and persuasive, drawing readers in with compelling narratives and relatable examples. He skillfully weaves together stories, studies, and real-world anecdotes to illustrate the prevalence and impact of noise in various aspects of human judgment. By presenting information in a compelling and relatable...

Be A Better YOU with AI: Join The Community: https://10xyou.us Get AIDAILY every weekday. Subscribe at https://aidaily.us --- In this episode, Chris introduces the concept of "Homonexis," or "connected man," drawing parallels to the Borg from Star Trek. He discusses how, unlike Homo sapiens who pride themselves on individual decision-making, Homonexis relies heavily on collective input from social networks for making decisions. This shift reflects our current reality where people often seek validation and guidance from their online connections. Chris shares his innovative startup idea for a fashion app called "Does This Go?" where users can get instant feedback on their outfits from their social network. This app epitomizes how we've outsourced our judgment to the crowd, allowing collective input to guide personal choices. He poses philosophical questions about whether this trend makes us better or lesser human beings and emphasizes the importance of retaining individual decision-making power while leveraging collective wisdom. Drawing on the Star Trek analogy, Chris advocates for a balanced approach: taking input from our social networks but ultimately making our own decisions. He concludes by encouraging listeners to reflect on their use of social networks for decision-making and to ensure they maintain personal responsibility and judgment. --- Support this podcast: https://podcasters.spotify.com/pod/show/thinkfuture/support

Some people are pro not telling your friends everything because you never know who you can trust. But I'm not here to deliver that message or tell you to watch your back. Frankly, we've all heard enough friendship horror stories of betrayal. For me, this is not an issue of trust but an issue of noise! This topic divides people, and rightly so! Sharing is a huge part of bonding and receiving support in friendships. So, I'm not here to promote secrecy but discernment. Join me as I share the four types of noise: noise that clouds your judgment, noise that kills, unnecessary noise, and noise about you. If you leave this episode with anything, let it be "wherever there is judgment, there is noise - and more of it than you think" (excerpt from Noise: A Flaw in Human Judgment). --- Send in a voice message: https://podcasters.spotify.com/pod/show/mfl/message

In Look Again: The Power of Noticing What Was Always There, Cass Sunstein, together with his co-author Tali Sharot, discusses the importance of reevaluating the familiar to discover new insights.Sunstein has long been at the forefront of behavioral economics. He is the Robert Walmsley University Professor at Harvard Law School and served as the administrator of the White House Office of Information and Regulatory Affairs in the Obama administration. He has authored numerous best sellers, such as Nudge and The World According to Star Wars., In his new book, he explores the effects of habituation—ceasing to notice the familiar.Together with Martin Reeves, Chairman of the BCG Henderson Institute, Sunstein discusses the perils of habituation and how to see the unseen. He also identifies ways that company leaders can strategically avoid habituation to ensure their organizations do not get stuck in mental models that limit adaptability to new trends and challenges.Key topics discussed: 01:09 | How habituation works04:25 | What dishabituation is08:18 | How to see the unseen13:51 | How corporations should think about (dis-)habituation22:08 | Breaking free from a mental model24:21 | Personal strategies for dishabituationAdditional inspirations from Cass Sunstein:Noise: A Flaw in Human Judgment; co-authored by Daniel Kahneman and Olivier Sibony (Little Brown Spark, 2021)The World According to Star Wars (Dey Street Books, 2016)Nudge: Improving Decisions About Health, Wealth, and Happiness; co-authored by Richard Thaler (Penguin Books, 2009)This podcast uses the following third-party services for analysis: Chartable - https://chartable.com/privacy

Nobel laureate, bestselling author, and groundbreaking psychologist Daniel Kahneman died in March. In 2021 he talked with Steve Levitt — his friend and former business partner — about his book Noise: A Flaw in Human Judgment (cowritten with Olivier Sibony and Cass Sunstein) and much more. SOURCES:Daniel Kahneman, professor emeritus of psychology and public affairs at Princeton University. RESOURCES:Noise: A Flaw in Human Judgment, by Olivier Sibony, Daniel Kahneman, and Cass R. Sunstein (2021).Thinking, Fast and Slow, by Daniel Kahneman (2011). EXTRAS:"What's the Secret to Making a Great Prediction?" by No Stupid Questions (2021)."The Men Who Started a Thinking Revolution," by Freakonomics Radio (2017)."How to Be Less Terrible at Predicting the Future," by Freakonomics Radio (2016).

https://passionstruck.com/passion-struck-book/ - Order a copy of my new book, "Passion Struck: Twelve Powerful Principles to Unlock Your Purpose and Ignite Your Most Intentional Life," today! Picked by the Next Big Idea Club as a must-read for 2024.In this episode of Passion Struck, host John R. Miles sits down with Ethan Mollick, a Wharton professor and author of the groundbreaking book Co-Intelligence. They delve into the rapidly evolving world of artificial intelligence (AI) and its impact on various aspects of life and work. Ethan Mollick shares insights on the potential benefits and risks of AI, including its role in enhancing productivity and creativity, job security concerns, and broader implications for humanity.Full show notes and resources can be found here: https://passionstruck.com/ethan-mollick-the-impact-of-ai-on-life-and-work/In this episode, you will learn:The importance of setting boundaries and clear roles when working with AI to ensure it operates within desired scopes.The evolving role of human judgment as AI becomes more integrated into decision-making processes.Addressing biases in AI systems and the challenges of ensuring accountability in AI-driven decision-making.Recommendations for individuals preparing for a future where AI capabilities are constantly evolving, emphasizing the need to adapt to uncertainty and plan for potential advancements in AI technology.All things Ethan Mollick: https://mgmt.wharton.upenn.edu/profile/emollick/SponsorsBrought to you by Indeed. Head to https://www.indeed.com/passionstruck, where you can receive a $75 credit to attract, interview, and hire in one place.Brought to you by Nom Nom: Go Right Now for 50% off your no-risk two week trial at https://trynom.com/passionstruck.Brought to you by Cozy Earth. Cozy Earth provided an exclusive offer for my listeners. 35% off site-wide when you use the code “PASSIONSTRUCK” at https://cozyearth.com/This episode is brought to you by BetterHelp. Give online therapy a try at https://www.betterhelp.com/PASSIONSTRUCK, and get on your way to being your best self.This episode is brought to you By Constant Contact:  Helping the Small Stand Tall. Just go to Constant Contact dot com right now. So get going, and start GROWING your business today with a free trial at Constant Contact dot com.--► For information about advertisers and promo codes, go to:https://passionstruck.com/deals/Catch More of Passion StruckMy solo episode on Why We All Crave To Matter: Exploring The Power Of Mattering: https://passionstruck.com/exploring-the-power-of-matteringWatch my interview with Robert Waldinger On What Are The Keys To Living A Good Life.Can't miss my episode with Oksana Masters On How The Hard Parts Lead To TriumphListen to my interview with Richard M. Ryan On Exploring The Heart Of Human Motivation.Catch my episode with Coach Matt Doherty On How You Rebound From Life's Toughest Moments.Listen to my solo episode On 10 Benefits Of Meditation For Transforming The Mind And Body.Like this show? Please leave us a review here-- even one sentence helps! Consider including your Twitter or Instagram handle so we can thank you personally!How to Connect with JohnConnect with John on Twitter at @John_RMiles and on Instagram at @john_R_Miles.Subscribe to our main YouTube Channel Here: https://www.youtube.com/c/JohnRMilesSubscribe to our YouTube Clips Channel: https://www.youtube.com/@passionstruckclipsWant to uncover your profound sense of Mattering? I provide my master class with five simple steps to achieving it.Want to hear my best interviews? Check out my starter packs on intentional behavior change, women at the top of their game, longevity and well-being, and overcoming adversity.Learn more about John: https://johnrmiles.com/

When it comes to the eventual end of our universe, cosmologists have a few classic theories: the Big Crunch, where the universe reverses its expansion and contracts again, setting the stars themselves on fire in the process. Or the Big Rip, where the universe expands forever—but in a fundamentally unstable way that tears matter itself apart. Or it might be heat death, in which matter and energy become equally distributed in a cold, eventless soup.These theories have continued to evolve as we gain new understandings from particle accelerators and astronomical observations. As our understanding of fundamental physics advances, new ideas about the ending are joining the list. Take vacuum decay, a theory that's been around since the 1970s, but which gained new support when CERN confirmed detection of the Higgs Boson particle. The nice thing about vacuum decay, writes cosmologist Dr. Katie Mack in her book The End of Everything: (Astrophysically Speaking), is that it could happen at any time, and would be almost instantaneous—painless, efficient.The End Of Everything is our SciFri Book Club pick for April—you can join in on the community conversation and maybe even win a free book on our book club page. In this interview from 2020, Mack joins Ira to talk about the diversity of universe-ending theories, and how cosmologists like her think about the big questions, like where the universe started, how it might end, and what happens after it does.Also, Nobel Prize-winning psychologist Dr. Daniel Kahneman died this week at the age of 90. His work turned many traditional ideas about economics upside-down, arguing that people often make bad decisions that go against their own self-interest. It's something he continued to study throughout his career, and that he wrote about in the 2022 book Noise: A Flaw in Human Judgment. At the end of this segment, we revisit an interview from 2022 with Kahneman in remembrance of his long career studying cognitive biases.Transcripts for each segment will be available after the show airs on sciencefriday.com. Subscribe to this podcast. Plus, to stay updated on all things science, sign up for Science Friday's newsletters.

Alex Komoroske has spent his career studying, writing about, and working in complex adaptive systems. He has published multiple essays on topics like Schelling points in organizations, why debate should be collaborative, and how to ensure resilient growth in harsh environments. Alex has also worked as a product manager and in corporate strategy at Google and Stripe. Alex joins the show to discuss how to escape busyness, why heroism is overrated, the different types of magic, and MUCH more! Important Links: Alex's Website Alex's Twitter Alex's LinkedIn Show Notes: The Parable of the Builder & the Gardener Against Heroism Noise is Good Complex Adaptivity All the Way Down Information Flow, Context Switching and Luck Surface-Area Escaping Busyness Paradigm Shifts & the Importance of Uncertainty The Self-Transcending Mindset The Power of Compression & The Virility of Memes Order From Chaos The Iterative Adjacent Possible Saruman & Radagast Magic The Illusion of Certainty Alex as Emperor of the World MORE! Books and Articles Mentioned: The Magic of Acorns; by Alex Komoroske The Sarumans and The Radagasts; by Alex Komoroske The Iterative Adjacent Possible; by Alex Komoroske Crossing the Bridge of Nihilism; by Jim O'Shaughnessy Adult Development Primer; by Dimitri Glazkov The Mower against Gardens; by Andrew Marvell Being There; by Jerzy Kosinski Noise: A Flaw in Human Judgment; by Daniel Kahneman, Olivier Sibony & Cass R. Sunstein Global Brain: The Evolution of Mass Mind from the Big Bang to the 21st Century; by Howard Bloom Zorba the Greek; by Nikos Kazantzakis Nonzero: The Logic of Human Destiny; by Robert Wright The Fifth Science; by Exurb1a A Pattern Language: Towns, Buildings, Construction; by Christopher Alexander

4:00) - Most Interesting | 126. Amputees Feel Warmth In Their Missing Hand(8:40) - Listener Favorite | 118. Robotics & AI in Sheet Metal Forming(12:23) - Most Impactful | 112. Bringing Humans Back Into The Loop For AI(16:30) - Hidden Gem(s) | 135. Reinventing Retail in The Connectivity Age & 144. An implantable device could enable injection-free control of diabetes

00:00Introduction to Kevin Cerase03:00Kevin's Early Aspirations and Interest in Acting06:23Kevin's Passion for Drumming07:58The Importance of Learning from Failure09:32The Generation Gap and Work Ethic11:38Transitioning from Acting to Tech13:44The Evolution of Technology15:28The Rise of Artificial Intelligence18:18The Misunderstanding of AI and Deep Fakes20:14The Concerns and Potential Misuse of AI22:27The Search for Truth in the Age of AI23:56The Impact of Social Media and the Future of AI25:50The Positive Applications of AI27:11The Importance of Authenticity in the Digital Age29:06Fact-Checking Authenticity and Curiosity30:04The Future of AI and Guardrails33:03Kevin's Work on the Empire State Building36:42The Potential Negative Impact of Inventions37:38The Risks and Fail-Safes of AI39:30The Importance of Human Judgment in AI40:43The Future of AI and Job Roles43:26Protecting Against AI Threats44:58The Need for Multi-Factor Authentication46:15The Potential Dangers of AI47:06The Importance of Gratitude and Moving Forward48:35The Greatest Piece of Advice and Kevin's North Star50:13Closing Remarks and Contact Information 

Chapter 1 What's Noise aboutThe book "Noise: A Flaw in Human Judgment" is co-authored by Daniel Kahneman, Olivier Sibony, and Cass R. Sunstein. It explores the concept of noise, which refers to unwanted variability in human judgment and decision-making. In the book, Kahneman and his co-authors argue that while biases (systematic errors) in decision-making have received substantial attention, people often neglect the detrimental impact of noise. Noise occurs when individuals facing the same decision problem make different judgments or decisions due to random or irrelevant influences. These variations can lead to inconsistent and unfair outcomes, affecting various domains like law, medicine, hiring processes, and more. Kahneman and his colleagues provide insights into the sources of noise and its consequences, stressing the importance of reducing noise to achieve greater accuracy and fairness. They delve into the root causes of noise, such as flawed measurement tools, poorly designed procedures, and subjective human judgment. Additionally, the authors discuss potential remedies to mitigate noise, including using algorithms, decision aids, structured judgment protocols, and training. "Noise" sheds light on a critical yet often overlooked aspect of decision-making and highlights the need for organizations and individuals to address and minimize noise to improve the quality of their judgments and outcomes.Chapter 2 Is Noise ValuedAccording to reddit comments on Noise, "Noise: A Flaw in Human Judgment" by Daniel Kahneman, Olivier Sibony, and Cass R. Sunstein is valued because it sheds light on an important yet often overlooked aspect of human decision-making: the presence of noise. While much research has been focused on biases and errors in judgment, this book highlights the role of inconsistency and randomness in decision-making processes. Here are some reasons why this book is valued: 1. Awareness of noise: The book raises awareness about the concept of noise and its impact on decision-making. Noise refers to unwanted variability or inconsistency in judgments made by different individuals assessing the same situation. By highlighting this flaw, the book prompts readers to question their own judgments and consider the possibility of noise affecting their decisions. 2. Understanding decision-making: By exploring the root causes of noise, such as individual differences, contextual factors, and situational influences, the book provides insights into the complexities of decision-making. It helps readers understand that even when people have access to the same information and face similar circumstances, their judgments can differ significantly due to inherent noise. 3. Practical implications: "Noise: A Flaw in Human Judgment" emphasizes the practical implications of noise for various fields, including law, healthcare, hiring practices, and policy-making. It demonstrates how reducing noise in decision-making processes can lead to improved outcomes and more consistent results. By providing actionable recommendations, the book offers a framework for reducing noise and increasing fairness in a variety of domains. 4. Collaboration and transparency: The book promotes collaboration and transparency by encouraging organizations and institutions to adopt methods that minimize noise. By...

The justice system will be an epic failure if it is allowed to be run by algorithms - check out the podcast and if you want more go to robotcrimeblog.com

Daniel Kahneman is Professor Emeritus of Psychology and Public Policy at Princeton University. He won the Nobel Prize in Economic Sciences in 2002 for joint work with Amos Tversky in which they revealed the biases and heuristics with which humans operate, thereby deviating from the rationality presumed by economic theory at the time. Among this and many other awards, Danny was also given the Presidential Medal of Freedom by Barrack Obama. While Danny is likely best known outside of psychology for his book Thinking Fast and Slow, he and Robinson discuss his latest a book, co-authored with Olivier Simony and Cass Sunstein, called Noise: A Flaw in Human Judgment, which concerns the astonishingly prevalent and damaging variability inherent in human judgment. Noise: https://a.co/d/hbKBQKD OUTLINE 00:00 In This Episode… 00:55 Introduction 06:16 Danny's Childhood 11:23 The Difference Between Noise and Bias 16:21 Some Themes from Noise 18:57 Noise in the Judicial System 32:36 Noise in the Medical System 37:59 The Difficulty of Spotting Noise 39:58 Psychology and the Descriptive, Prescriptive, and Normative 43:14 Decision Hygiene for Reducing Bias and Noise in Judgment 54:32 Limiting Intuitions to Improve Decision-Making 01:00:38 Understanding Regression to the Mean Robinson's Website: http://robinsonerhardt.com Robinson Erhardt researches symbolic logic and the foundations of mathematics at Stanford University. Join him in conversations with philosophers, scientists, weightlifters, artists, and everyone in-between.  --- Support this podcast: https://podcasters.spotify.com/pod/show/robinson-erhardt/support

Daniel Kahneman is widely regarded as the most influential psychologist alive. He won the Nobel Prize in Economics (2002) for his work on judgment and decision-making under uncertainty, much of it done jointly with his late collaborator Amos Tversky. He is the author of the bestselling books Thinking, Fast and Slow and Noise: A Flaw in Human Judgment (written with Olivier Sibony and Cass Sunstein). Full transcript available at: thejspod.comSee omnystudio.com/listener for privacy information.

Paul Magnone discusses the book "Decisions Over Decimals" and how uniting data intelligence with human judgment can lead to better innovation, action and transformation. Paul is Head of Global Strategic Alliances at Google and Co-Faculty Director and Adjunct Professor at Columbia Business School. Listen for three action items you can use today. Host, Kevin Craine

So, you think you're making good decisions, but are you really? And, what about the hidden scripts and noisy inputs that affect nearly every decision you make, without you being aware of any of it? How do we make better decisions?Today's guest can help. Daniel Kahneman is one of the most influential psychologists and thinkers in modern history, his ideas have literally changed the way we live, work, relate, see the world, make decisions, and build solutions, organizations, industries, societies, and lives. Best known for his remarkable work with Amos Tversky, which explores how we reason and make decisions, his research was, in no small way, seminal in the creation of the field of behavioral economics. He's been awarded the Nobel Prize, as well as the Presidential Medal of Freedom. His New York Times best-selling book, Thinking, Fast and Slow, has sold more than seven million copies worldwide. And his most recent book, Noise: A Flaw in Human Judgment, explores how unrecognized, systemic influences affect our decisions in ways, both rational and not, that remain completely hidden to us and often lead to profound unfairness and inequality. We talk about key ideas from his research spanning more than 6 decades. But, we also dive deep into the life experiences that shaped him. Fascinatingly, Kahmeman's curiosity about humans and all our complexities was sparked as a young Jew living with his family in Nazi-occupied France during World War II, and running for years, before fleeing. His sometimes harrowing experiences triggered questions and curiosities that powerfully influenced what would become a lifelong devotion to understand why we do the things we do.We explore those early experiences, and he shares where some of the seeds were first planted that would later grow into the body of research and work that have changed the world. You can find Daniel at: Princeton University | The Nobel PrizeIf you LOVED this episode you'll also love the conversations we had with Charles Duhigg about how unknown influences and habit and ritual effect our behavior.Check out our offerings & partners: My New Book SparkedMy New Podcast SPARKED. To submit your “moment & question” for consideration to be on the show go to sparketype.com/submit. Visit Our Sponsor Page For Great Resources & Discount Codes Hosted on Acast. See acast.com/privacy for more information.

(0:48) - Bringing Humans Back Into The Loop For AI

The truth isn't always black and white. Sometimes, it requires more context and background when attributed to different scenarios and situations.The same can be said about your data and whether a “single version of the truth” can be properly applied to multiple use cases for your business.In this episode, Malcolm interviews Jeff Jonas, the Founder, and CEO of Senzing — a software company on the leading edge of developing “entity resolution” solutions — which solve the growing challenge of uniquely identifying people or objects across multiple systems of duplicate, low-quality data. Malcolm and Jeff discuss how advances in technology are fueling more modern forms of entity resolution, where companies are now able to implement more context-centric approaches to complex matching, particularly within their master data management (MDM) programs. As technical as “entity resolution” may sound, the two uncover the global effect this technology has on people each day — including the job of the Chief Data Officer (CDO). Also known as “disambiguation” or “fuzzy matching,” effective entity resolution allows software systems or data stewards to decipher whether records for Richard Smith and Dick Smith may represent the same person, even when it is not overtly suggested by the data.Jeff describes how entity resolution sits as a foundational component of data within MDM, customer relationship management (CRM), know your customer (KYC), supply chain and every other major business process that relies on accurate, trustworthy data. Jeff correctly notes that aside from horrible customer experiences that may arise from a lack of effective entity resolution, “it creates a lot of waste for companies to think you are two or three people instead of one.” Citing a person's example of having their name represented three distinct times in a hotel loyalty club database, he emphasizes the toxicity that comes with a lack of focus on entity resolution for companies who are trying to be both customer and data-centric. While many companies — particularly those already investing in AI/ML — may be attracted to implementing DIY solutions for entity resolution, Jeff notes that it's “super expensive to build”, especially given the complexity and diversity of data, and even language itself. The ability to understand meaning across objects, cultures, languages and even alphabets is at the core of reliable entity resolution and building bespoke solutions for tackling these complex problems — at scale — is beyond the capabilities or budgets of an overwhelming number of companies. When considering a “single version of the truth”, Malcolm unpacks the 30-year history of large, monolithic enterprise resource planning (ERP) suites that created the mindset of master data only living in a singular place within the organization. Thanks to the democratization of IT, the “single version” mindset is shifting both as a practicality and as a business need. Today, master data can be sourced from a single location while supporting multiple versions of truth based on the use case of that data. In talking about the evolution of large-scale entity resolution, its use in MDM to enable multiple versions of the truth and the legacy requirement to have data stewards manually review records, Jeff notes, “There are definitely times…when you want a human to take a look and make an adjudication. But, I will tell you, in large-scale systems, you don't have enough humans.”Rather than adding more people into data stewardship roles to support higher confidence matching, Jeff advocates the approach of widening the pool of data used by entity resolution processes — beyond just name and address — to make match decisions, including the possible use of third-party data sources. The last few minutes of the conversation go deep into AI/ML, and how these new technologies are used to augment human data stewardship processes. Jeff makes a great case to suggest that most stewardship tasks could be mostly automated, but that many companies are unable to duplicate pure human judgment. Throughout the conversation, Jeff and Malcolm take extremely complex technical issues and make them digestible and relatable to CDOs — consistently refocusing on how using entity resolution is critical to establish truth in an organization, especially when using MDM systems to manage said truth. CDOs who want to have more informed conversations with their technical staff about the role of entity resolution going beyond just “fuzzy matching” will find this episode of CDO Matters highly insightful. Key Moments[3:42] Entity Resolution Defined[7:50] The Impact of Poor Data Quality[11:23] The Death of the ‘Single Version of the Truth'[15:45] Entity Resolution Failures[24:03] Understanding Unique Entities[26:13] The Cost of Being Wrong[29:10] Human Intervention vs. Trust in the Algorithm[32:05] Gaining New Insights with MDM[35:09] Valuing Human Judgment [40:03] The Future of Entity Resolution in Digital TransformationKey Takeaways What Is Entity Resolution? (1:58)“Entity resolution is recognizing when two things are the same…it's [also] called ‘fuzzy record matching', ‘link detection', ‘disambiguation', ‘match/merge' and lots of names. It's been congealing into this term ‘entity resolution' and is being more used. And really, the definition that I would have for it is recognizing when two identities are the same despite being described as different.” — Jeff JonasThe Cost and Complexity of Efficient Entity Resolution (5:15)“This problem [with poor entity resolution] is ubiquitous, and it turns out, is super expensive to build. People think you can hire a little team and do some AI/ML and think you are going to match well. And I am telling you, you cannot create something competitive in five years for twenty million.” — Jeff JonasIs the ‘Single Version of the Truth' Dead in 2023? (13:07)“There are still many people saying you need a single version of the truth…At an operational level [within a company], there are multiple versions of the truth. The way a marketer would define a customer is different than the way somebody in finance may define a customer, particularly B2B, where one would be a ‘sell to' and the other is a ‘bill to,' and they are both correct. A lot of people still think that is what MDM is, and it can be that if you want it to be that, but it doesn't have to be.” — Malcolm HawkerWorking with Multiple Versions of the Truth (14:12)“I think the ‘single version of the truth'…those are the dark ages, the dark days. The truth is you really want systems that can present truth to the eye of the beholder. It's about who the recipient is. But there are two forms of truth: One is about separating ‘who is who?' from which attribute is the best attribute…and how many entities does the organization have? Do you really want marketing to have a different [data] account than finance?” — Jeff JonasHuman vs. Software: The Role of Human Judgment (29:38)“There are definitely times/cases in data when you want a human to take a look and make an adjudication. But I will tell you, in large-scale systems, you don't have enough humans. Second, I will tell you, ‘How does the human do it?' The human is using additional data. It's either data stuck in their head or they're searching it up somewhere…but a lot of times, you have to actually do research…so making these decisions on records with some human intervention is about adding data. And one of the things that we propose is that there are kinds of data that is the initial data needed.” — Jeff JonasAbout Jeff JonasJeff Jonas is not only the CEO and Founder of Senzing but also the Chief Scientist. Since 2016, the organization has provided fast and easy API for accurate data matching. For more than 30 years in the field, he has been at the forefront of solving big data problems for both companies and governments. National Geographic recognized Jeff for his talents in the data space, referring to him as the “Wizard of Big Data.”EPISODE LINKS & RESOURCES:Follow Malcolm Hawker on LinkedInFollow Jeff Jonas on LinkedInVisit Senzing's websiteLearn more about ‘entity resolution'View a PDF of Jeff's publication, Privacy by Design in the Age of Big Data

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Language models can generate superior text compared to their input, published by ChristianKl on January 17, 2023 on LessWrong. There's a frequent misconception that assumes that a large language model will never achieve superhuman text creation ability because such models try to create texts that are maximally unsurprising. This article will explain why that assumption is wrong. In 1906, Sir Francis Galton conducted an experiment at a fair, where he asked fair-goers to guess the weight of an ox in a weight-judging competition. The median of 787 guesses was 1,207 pounds, while the actual weight of the ox was 1,198 pounds. The error in making guesses was a result of a combination of systematic bias and random noise. The fair-goers, having knowledge of oxen, had no bias in their guesses, thus the error was entirely due to random noise. By polling the 787 guesses, Galton averaged out the random noise of each individual guess. This phenomenon was coined wisdom of the crowd. In areas where reasoning errors are mostly random noise, crowds are smarter than individual members of the crowd. By training on large data sets, large language models can access the wisdom of the crowd. The ceiling of the ability of a large language model is the wisdom of the crowd instead of the wisdom of individual members of the crowd. The fact that each word of a text is massively unsurprising based on preceding words in the text does not imply that the text overall would be massively unsurprising. If you have a text you can calculate for every word in the text the likelihood (Ltext) how likely it would follow the preceding words in the text. You can also calculate the likelihood (Lideal) of the most likely word that would follow the preceding text. Lideal - Ltext is noise. If you look at a given text you can calculate the average of the noise for each word. A well-trained large language model is able to produce texts with a lot less noise than the average of the text in its training corpus. For further reading, Kahneman wrote Noise: A Flaw in Human Judgment which goes into more detail on how a machine learning model can eliminate noise and thus make better decisions than the average of its training data. Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org.

Paul Magnone discusses the book "Decisions Over Decimals" and how uniting data intelligence with human judgment can lead to better innovation, action and transformation. Paul is Head of Global Strategic Alliances at Google and Co-Faculty Director and Adjunct Professor at Columbia Business School. Listen for three action items you can use today. Host, Kevin Craine Do you want to be a guest?

Cass Sunstein, the Robert Walmsley University Professor at Harvard and Jonah's fellow disciple of the dingo, makes an overdue return to the Remnant to discuss his recent book, Noise: A Flaw in Human Judgment. Noise, the book argues, is a deadly flaw in human judgment that clouds many of our decisions and produces errors in fields such as medicine, law, and public health. Dr. Sunstein and Jonah examine how noise should be defined, what separates it from bias, and what we can do to fight it. They also explore whether the phenomenon varies across the world, and how terrifying changes in AI and algorithms may affect it.Show Notes:- Dr. Sunstein's recent book, Noise- Dr. Sunstein's other recent book, Sludge- Dr. Sunstein: “Governing by Algorithm? No Noise and (Potentially) Less Bias”

In this episode I have the honour to interview a Nobel Laureate who has devoted his life to understanding the way we think. His work has interesting links, not only to my new research topic of cognitive biases, but also on humanity's continuing self examination of consciousness and the mysteries of the mind. Berkely-trained psychologist Daniel Kahneman was corecipient of the Nobel Prize for Economics in 2002 for his integration of psychological research into economic science. His pioneering work examined human judgment and decision making under uncertainty. He was a lecturer (1961–70) and a professor (1970–78) of psychology at the Hebrew University, University of British Columbia, University of California Berkeley, and Princeton University where he was the Eugene Higgins Professor of Psychology and a professor of public affairs at Princeton's Woodrow Wilson School of Public and International Affairs. Kahneman's groundbreaking nobel research showed that people's inferences of future probabilities are not strictly rational, but show various biases. In 2011 Kahneman received the Talcott Parsons Prize from the American Academy of Arts and Sciences for his contributions to the social sciences. Also that year he published the best-selling book Thinking, Fast and Slow, which highlights two different ways in which people make decisions. His other books included Noise: A Flaw in Human Judgment. In 2013 Kahneman was awarded the U.S. Presidential Medal of Freedom. Follow me at www.therationalview.ca Join the Facebook discussion @TheRationalView Twitter @AlScottRational Instagram @The_Rational_View #TheRationalView #podcast #consciousness #cognitivebias #mind #economics #rationality

Using Family Photos Of Fall Foliage To Track Climate Change Leaf-peeping, or tourism based on observing the colors of fall foliage, is a big industry in parts of the Northeast. So as leaves continue to change across the northern United States with the turning of the seasons, researchers are working to better understand how climate change may be affecting fall colors—changes that may affect the bottom line for those tourism-rich areas. But to tease out the factors involved with the timing of peak leaf color, the researchers need data on when leaves started to change color, when they arrive at their peak color, and when the leaf-peeping season ends. Unfortunately, satellite imagery showing leaf color is only available dating back to the year 2000—and so Stephanie Spera of the University of Richmond is trying to get data in some unconventional ways. Spera and colleagues are engaging in a massive citizen-science project, asking for tourist snapshots of Acadia National Park that show the colors of fall. While they'll accept your cellphone selfies, they're especially interested in older, pre-digital images—the sort of vacation pictures that might be in your family albums, or in shoe boxes in an elderly relative's attic. Adding those images to their data set, she says, will both help them to validate the satellite data and to extend the boundaries of their data set outwards. Heather Goldstone, host and executive producer of Living Lab Radio on WCAI, joins Ira to talk about the project and how listeners can participate.   The ‘Grandfather' Of The Voyager Mission Retires 45 years ago, the Voyagers 1 and 2 spacecraft were launched into the cosmos from Cape Canaveral in Florida. Since then, they've traveled over 14 billion miles from Earth, on a grand tour of our solar system, and beyond. The mission is still running, making Voyager 1 the farthest human-built artifact from Earth. Even before launch, scientists and engineers were hard at work planning and designing the mission. Last week, NASA announced the retirement of Dr. Ed Stone, who some called the ‘grandfather' of the mission. Dr. Stone shepherded the Voyager program as its project scientist for 50 full years. In this conversation from 2013, just after Voyager 1 had entered interstellar space, Ira spoke with Dr. Stone for a status update on the mission.   A Flaw in Human Judgment: How Making Decisions Isn't As Objective As You Think If two people are presented with the same set of facts, they will often draw different conclusions. For example, judges often dole out different sentences for the same case, which can lead to an unjust system. This unwanted variability in judgments in which we expect uniformity is what psychologist Daniel Kahneman calls “noise.” The importance of thoughtful decision-making has come in stark relief during the pandemic and in the events leading up to the January 6th insurrection. Ira talks with Nobel Prize-winning psychologist Daniel Kahneman about the role of ‘noise' in human judgment, his long career studying cognitive biases, and how systematic decision-making can result in fewer errors. Kahneman is the co-author of “Noise: A Flaw in Human Judgment,” along with Oliver Sibony and Cass R. Sunstein, now available in paperback.   Frenemies, Lovers, And The Fate Of The Cosmos: Our Galaxy Tells All Our galaxy, the Milky Way, is 13.6 billion years old, all-knowing, and a little sassy. It has a rich social life of friends, frenemies, and even love interests—all other galaxies in the local group, including the stunning Andromeda. And the Milky Way is a little disappointed that we've stopped telling as many stories about it. Or at least, that's how folklorist and astronomer Dr. Moiya McTier imagines the galaxy's personality when writing her new book, The Milky Way: An Autobiography of Our Galaxy. The book stretches from the beginning of the universe to the birth of our planet, and then on to the eventual theoretical end of the cosmos. Along the way, we learn both the science of how stars form and galaxies collide, and the many stories and myths humans have told about these bodies throughout our relatively brief lives. McTier joins Ira to tell all (on behalf of the Milky Way), and explain the importance of story in scientific knowledge and discovery.   Transcripts for each segment will be available the week after the show airs on sciencefriday.com.  

Paul Magnone discusses the book "Decisions Over Decimals" and how uniting data intelligence with human judgment can lead to better innovation, action and transformation. Paul is Head of Global Strategic Alliances at Google and Co-Faculty Director and Adjunct Professor at Columbia Business School. Listen for three action items you can use today. Host, Kevin Craine Do you want to be a guest?

Shankar Vedantam is the host of the wildly popular podcast, Hidden Brain and esteemed author of the book Useful Delusions: The Power and Paradox of the Self-Deceiving Brain. We initially interviewed Shankar in mid 2021 but want to highlight this discussion for you again as it is one we still discuss in more recent episodes. Before reading Shankar's book and interviewing him for this podcast we were, as Shankar describes himself, card-carrying rationalists. We were firmly in the camp of believing rational, scientific findings and believing that lies and deception are harmful to ourselves and to our communities. However, Shankar walks us through a compelling argument, that paradoxically, self-deception actually plays a pivotal role in our happiness and well-being. In our discussion with Shankar we cover: (6:38) Speed round questions. (11:04) The difference between self delusions being useful and being harmful. (16:23) How nations are a delusional construct. (23:00) Awareness of self-delusions and how daily gratitudes can shift our perspective of the world.  (25:56) Shankar's personal story of delusional thinking.  (29:58) The role emotions play in our mood and delusions. (35:23) How avoidance of delusional thinking is a sign of privilege. (37:30) Why our perceptions play an important role in understanding delusions. (44:36) Shankar's unique approach to conspiracy theories. (52:28) What music Shankar has been listening to during COVID. (52:15) Grooving Session and Bonus Track with Kurt and Tim. We really hope you find Shankar's unique insight on how delusions are useful as compelling as we did. If you're a regular Behavioral Grooves listener, please consider supporting us through Patreon. Thank you!  © 2022 Behavioral Grooves   Books  Useful Delusions: The Power and Paradox of the Self-Deceiving Brain https://amzn.to/2PUkzlv  The Hidden Brain: How Our Unconscious Minds Elect Presidents, Control Markets, Wage Wars and Save Our Lives https://amzn.to/3e1qgWY Links Noise: A Flaw in Human Judgment by Kahneman, Sibony and Sunstein, 2021 https://amzn.to/3heyr5r  Richard Dawkins https://richarddawkins.net/  Mahabharata https://en.wikipedia.org/wiki/Mahabharata  Lake Wobegon Effect https://en.wikipedia.org/wiki/Lake_Wobegon    Other Episodes We Talk About The Myth of the “Relationship Spark” with Logan Ury (featuring a guest appearance by Christina Gravert, PhD): https://behavioralgrooves.com/episode/the-myth-of-the-relationship-spark-with-logan-ury-featuring-a-guest-appearance-by-christina-gravert-phd/ Robert Cialdini, PhD: Littering, Egoism and Aretha Franklin: https://behavioralgrooves.com/episode/robert-cialdini-phd-littering-egoism-and-aretha-franklin/  Self Control, Belonging, and Why Your Most Dedicated Employees Are the Ones To Watch Out For with Roy Baumeister: https://behavioralgrooves.com/episode/self-control-belonging-and-why-your-most-dedicated-employees-are-the-ones-to-watch-out-for-with-roy-baumeister/ George Loewenstein: On a Functional Theory of Boredom: https://behavioralgrooves.com/episode/george-loewenstein-on-a-functional-theory-of-boredom/ Gary Latham, PhD: Goal Setting, Prompts, Priming, and Skepticism: https://behavioralgrooves.com/episode/gary-latham-phd-goal-setting-prompts-priming-and-skepticism/ John Bargh: Dante, Coffee and the Unconscious Mind: https://behavioralgrooves.com/episode/john-bargh-dante-coffee-and-the-unconscious-mind/ Linda Thunstrom: Are Thoughts and Prayers Empty Gestures to Suffering Disaster Victims? https://behavioralgrooves.com/episode/linda-thunstrom-are-thoughts-and-prayers-empty-gestures-to-suffering-disaster-victims/ 

When Times Get Tough, These Toads Make Hybrid Babies Scientists have long thought that when two animals from two different species mate, it's a colossal error and the end of the road for the mismatched couple. It's called interspecies breeding, and many hybrid offspring often end up sterile, such as zonkeys —a cross between a zebra and donkey. Or they can develop serious health problems, like ligers and tigons. One biologist even went as far to call interspecies breeding “the grossest blunder in sexual preference.” But is breeding across species lines always a dead end? One critter —the plains spadefoot toad—shows us that maybe it isn't. In fact, it can give them a leg up in survival. Katherine Wu, staff writer for The Atlantic, talks with Ira about the complicated sex lives of the female plains spadefoot toads, the trade-offs females make when choosing a mate, and why hybridizing critters may not be such a biological abomination after all.     Major Semiconductor Support Bill Passes First Hurdle Earlier this week, the Senate voted in favor of the Creating Helpful Incentives to Produce Semiconductors (CHIPS) for America Act. If passed, the bill would provide more than $50 billion to companies that will build semiconductor factories here in the United States. Semiconductors are versatile materials—such as silicon—often used in electronics and in microchips. But the bulk of semiconductors, known as “chips,” are produced in other countries, mostly Taiwan. If the CHIPS Act is passed, the government will fund tech companies to build factories at home instead. Although the bill still has to go through the House and be signed by President Biden, this Senate vote is still a monumental moment in the tech world. Jesús del Alamo, a professor of electrical engineering at MIT, joins Ira to talk about why this bill is such a big deal, and what's at stake.   Drought Could Raise Toxic Dust Around Utah's Great Salt Lake Utah's Great Salt Lake holds a unique ecological niche as the western hemisphere's largest saltwater lake. The body of water is three to five times saltier than the ocean, with salinity ranging between 12 and 28 percent. According to the Great Salt Lake Institute, millions of birds from more than 250 species rely on the lake yearly, alongside a diverse variety of plants and animals. Like many bodies of water in the U.S., climate change is affecting the status quo in the Great Salt Lake. The water is drying up at an alarming rate, reaching its lowest level in recorded history this month. Now, researchers warn that toxic dust could increase as water levels continue to drop. Joining Ira to discuss the Great Salt Lake's ecosystem and future is Bonnie Baxter, director of the Great Salt Lake Institute and biology professor at Westminster College in Salt Lake City, Utah.   A Flaw in Human Judgment: How Making Decisions Isn't As Objective As You Think If two people are presented with the same set of facts, they will often draw different conclusions. For example, judges often dole out different sentences for the same case, which can lead to an unjust system. This unwanted variability in judgments in which we expect uniformity is what psychologist Daniel Kahneman calls “noise.” The importance of thoughtful decision-making has come in stark relief during the pandemic and in the events leading up to the January 6th insurrection. Ira talks with Nobel Prize-winning psychologist Daniel Kahneman about the role of ‘noise' in human judgment, his long career studying cognitive biases, and how systematic decision-making can result in fewer errors. Kahneman is the co-author of “Noise: A Flaw in Human Judgment,” along with Oliver Sibony and Cass R. Sunstein, now available in paperback.   Transcripts for each segment will be available the week after the show airs on sciencefriday.com.  

We are joined by Admiral Samuel J. Paparo, Commander, U.S. Pacific Fleet, for a discussion on the threat the fleet faces, why the Engineering Duty Officer community is the Sine Qua Non of warfighter support, and the importance of mission command.   Book Recommendations: Noise: A Flaw in Human Judgment by Daniel Kahneman, Olivier Sibony, and Cass R. Sunstein The Fleet at Flood Tide: America at Total War in the Pacific. 1944-1945 by James D. Hornfischer, Pete Larkin, et al. The Bomber Mafia: A Dream. A Temptation, and the Longest Night of the Second World War by Malcom Gladwell

Much of the appeal of McDonald's comes from the chain's consistency. A cheeseburger in the US or a McSpicy Chicken in India should taste the same every time. But what if a business had wildly different outcomes depending on which leader was making decisions? Renowned psychologist Daniel Kahneman calls this variability “noise,” and suggests controlling it is key to ensuring the best decisions get made. In this week's episode, Stephanie interviews Kahneman, a best-selling author and professor emeritus at Princeton University, and Olivier Sibony, a professor of strategy at HEC Paris, about their new book, “Noise: A Flaw in Human Judgment.” (Their co-author is US legal scholar Cass Sunstein of Harvard Law School.) Kahneman and Sibony argue businesses often wrongly assume their decisionmakers will make similar judgments given similar circumstances. Kahneman relates an experiment he conducted with an insurance firm and dozens of its underwriters. It's fair to predict underwriters would reach similar conclusions about a case's risk and put a similar dollar value on it, right? Wrong. Kahneman found judgments often varied by 50%, or five times the divergence one would reasonably expect. Silencing that noise often means adopting good decision “hygiene,” the authors said. Many job interviews start with employers having an initial impression and spending the rest of the interview justifying it. Instead, companies should use structured interviews with standard questions that might help disprove false impressions, Kahneman said. And while many firms use artificial intelligence to weed out job candidates, they're likely doing themselves a disservice, Sibony said. Too often, the algorithms themselves are faulty, he said. “My worry is that companies are using this mostly to save time and money, not to actually improve the quality of their decisions,” Sibony said. See omnystudio.com/listener for privacy information.

What is noise?  In the context of decision making, it is unwanted variability in judgment. For investment management professionals, there's no room for errors in judgment, not when they are counted on to deliver for their clients. In this episode of Guiding Assets, we talk with Olivier Sibony, professor of strategy at HEC Paris and coauthor of Noise: A Flaw in Human Judgment. Oliver provides examples and methods for reducing noise and bias, and therefore error in decision making. Employing decision hygiene will give you more confidence in the judgments your firm makes. Be sure to listen and follow Olivier at https://twitter.com/SibOliv and https://www.linkedin.com/in/oliviersibony/.

Rebroadcast: If you consult three doctors and get three different opinions, that's an example of what Nobel Prize-winning psychologist Daniel Kahneman and his colleagues call “noise.” How do you decide what to do when professionals don't agree? We'll cut through the noise and exploring human judgment. Daniel Kahneman and Olivier Sibony join Meghna Chakrabarti.

این کتاب درباره چیست؟ چه اتفاقی می‌افتد که یک معلم یا استاد دانشگاه به یک جواب مشابه در برگه امتحانی دو نمره مختلف می‌دهد؟ یا چرا دو پزشک برای یک مریض با اسناد و مدارک پزشکی یکسان تشخیص‌های مختلف دارند؟ یا اینکه دو قاضی، چرا به یک مجرم دو حکم مختلف می‌دهند؟ چرا قضاوت‌های آدم از یک نفر به نفر دیگه فرق دارد؟ دانیل کانمن نوبلیست اقتصاد و متخصص اقتصاد رفتاری می‌گوید ریشه این خطا در قضاوت آدم‌ها یک پدیده‌ای‌ است به اسم «نویز». کانمن توی کتاب جدیدش «نویز» تلاش می‌کند توضیح بدهد این خطای شناختی چیست و چطوری می‌شود از آن خلاص شد. راوی این قسمت: دکتر مجید نیلی‌ احمدآبادی، استاد دانشکده مهندسی برق و کامپیوتر دانشگاه تهران لینک دسترسی به اصل کتاب: Noise: A Flaw in Human Judgment سردبیر: دکتر محمدامین نادریان ناظران علمی و برنامه‌ریزان: دکتر فرهاد نیلی دکتر سید فرشاد فاطمی تهیه‌کننده: دکتر هستی ربیعی مدیر هنری: علی نقیبی میکس و ادیت: محمد اسماعیل نوایی سیاوش مهرآیین تولیدشده در استودیو دانشگو https://zil.ink/daneshgoo

Machine Learning can improve decision making in a big way -- but it can also reproduce human biases and discrimination. Solon Barocas joins Vasant Dhar in episode 24 of Brave New World to discuss the challenges of solving this problem.  Useful resources: 1.  Solon Barocas at his website, Cornell, Google Scholar and Twitter. 2. Fairness and Machine Learning -- Solon Barocas, Moritz Hardt and Arvind Narayanan. 3. Danger Ahead: Risk Assessment and the Future of Bail Reform: John Logan Koepke and David G. Robinson. 4. Fairness and Utilization in Allocating Resources with Uncertain Demand -- Kate Donahue and Jon Kleinberg. 5. Profiles, Probabilities, and Stereotypes -- Frederick Schauer. 6. Thinking Like a Lawyer: A New Introduction to Legal Reasoning -- Frederick Schauer. 7. Measuring the predictability of life outcomes with a scientific mass collaboration -- Mathew Salganik and others. 8. Inherent Trade-Offs in the Fair Determination of Risk Scores -- Jon Kleinberg, Sendhil Mullainathan and Manish Raghavan. 9. Limits to Prediction -- Arvind Narayanan and Matthew Salganik. 10. The Fragile Families Challenge. 11.  Daniel Kahneman on How Noise Hampers Judgement -- Episode 21 of Brave New World. 12.  Noise: A Flaw in Human Judgment -- Daniel Kahneman. 13. Dissecting “Noise” — Vasant Dhar. 14. Nudge: Improving Decisions About Health, Wealth, and Happiness -- Richard Thaler and Cass Sunstein.