Podcasts about data ethics

How does SharkNinja use data to fuel its rapid growth and product innovation? Join Cindi Howson and Elpida Ormanidou, VP of Analytics and Insights at SharkNinja, as they dissect SharkNinja's data-driven culture, Elpida's journey in the data space across CPG and retail, and her insights on AI in the workplace. Key Moments: Data-Driven Culture (03:36): SharkNinja strongly emphasizes data in its culture, utilizing it to inform decision-making processes. The company is committed to using customer feedback gathered through data to drive the development and refinement of its product offerings.  CEO's Data Focus for Customer-centric Innovation (05:43): SharkNinja's CEO demonstrates a notable dedication to data by actively engaging with it. This involvement includes closely reviewing customer feedback and using data insights to guide product discussions and challenge teams to improve.  Data Ethics and Privacy (09:17): SharkNinja places a high priority on data ethics and privacy, emphasizing the importance of earning customer trust. Elpida shares how the company is committed to using customer data responsibly and has implemented strong controls to protect privacy.  AI and the Future of Work (20:31): Elpida discusses the transformative impact of AI on the future of work, characterizing it as a revolution. She emphasizes the importance of proactively addressing the changes by reskilling and upskilling the workforce to adapt to new roles and technologies.  Key Quotes:"Value gets created at the time of consumption. We create value for the business when data gets consumed, not when it gets connected, not when it gets processed, not when it gets synthesized, only when it's being used to drive decisions that create value for the company." - Elpida Ormanidou"Think of a company as a chain, where everything is interlinked to level up. Today's struggle is that while we have good AI applications, it's an art to connect them to create the next level of experience, particularly for customers. What works in a lab doesn't work the same in real life; there are so many different factors.” -Elpida Ormanidou"Where others have fear, I have hope and optimism that the more we automate and we remove mundane tasks from our day-to-day life or even our work life, the more we would be able to use our beautiful brains to reimagine and create new things that as a race will drive us forward for another 3,000 years." -Elpida OrmanidouMentions:SharkNinja Coolar: FrostVault TechnologySharkNinja HydrovacSurat: 100 Resilient Cities of the WorldMadam Curie: A Biography, By Eve CurieGuest Bio Elpida Ormanidou Elpida Ormanidou is the Vice President of Analytics & Insights at SharkNinja. She has extensive experience in data and analytics, having worked at companies like Walmart and Starbucks. At SharkNinja, she leads the data strategy and is passionate about fostering a data-driven culture. Elpida is a strong advocate for ethical data practices and responsible AI implementation. She is a recognized voice in the data and analytics community, frequently speaking at industry events and mentoring young professionals. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

In this episode of the PolicyViz Podcast, I speak with Yanni Loukissas, an Associate Professor at Georgia Tech, about the importance of context in working with data. Yanni argues that data are not universal but local—shaped by their origins, environments, and the intentions of those who collect them. Our conversation dives into how this perspective challenges dominant narratives in data science, particularly the assumption that datasets are neutral or universally applicable. We also discuss how design and storytelling can play a role in exposing the situated nature of data and how educators and practitioners can better teach and communicate these ideas.Keywords: Yanni Loukissas, PolicyViz Podcast, data visualization, data context, data storytelling, situated data, data ethics, data science, data politics, Georgia Tech, Jon Schwabish, design and data, local data, neutral data myth, data literacy, communicating data, data education, critical data studies, data and power, podcast interviewSubscribe to the PolicyViz Podcast wherever you get your podcasts.Become a patron of the PolicyViz Podcast for as little as a buck a monthCheck out Yanni's website and read his book, All Data are LocalFollow me on Instagram, LinkedIn, Substack, Twitter, Website, YouTubeEmail: jon@policyviz.com

"Dataetik handler også om den måde, vi opfatter brugeren og mennesket, vores demokrati og vores samfund på." / "Data ethics is also about how we perceive the user and the human being, our democracy, and our society."In this episode, we dive into the complexities of data ethics with Gry Hasselbalch, a leading expert on the topic. With experience shaping EU regulations on data and AI ethics, she shares insights on why human values must remain at the core of digital development.We explore the principle of “humans at the center” and why people should be seen as more than just data points or system users. Gry discusses how artificial intelligence and big data challenge this idea and why human interests must take priority over commercial or institutional goals.Here are our hosts' key takeaways:HumansWhen we talk about data ethics we need to relate to a value set - in out case a European value set, based on human rights.Data Ethics is built around humans - a human-centric principle. That means that human interests are always prioritized, above organizational interests, commercial interests, or machine interests.User is not enough if we talk about human in the center: this will mean different things once the discussion includes AI.We need to talk about the whole human, not just the user or the data about the human.Systems have an influence on our life, and therefore the human needs to be seen as a holistic being.RegulationsEU is seen as a «regulatory superpower» that has an ethical starting point when regulating.All cultures will have different interpretation and starting point of what ethics means.But through history we have been able to agree on an ethical baseline, like the charts of human rights.Human dignity is a central part of what ethics mean internationally.Regulation is not everything - remember that regulation happens due to an identified need.Regulations and laws are a guideline, but they do not cover (and cannot cover) the entire topic of data ethics.To ensure a value based approach to data handling, we need to go beyond regulations - talk about this as a societal challenge.Socio-technicalTechnology is not neutral - it is developed, applied within a certain cultural setting.Technical systems are part of society as much as society is part of the technical systems we develop and use.Maybe we should rather talk about «socio-technical infrastructure».There is a dichotomy in talking about data as something valuable and at the same time as a liability.Data ethics can be viewed as a competitive advantage, a way to induce trust and better an organizations reputation.AI and ethicsAI is accelerating the need for ethical data decisions.AI is not created out of the blue, it is very much based on our data, our societal norms, developed by humans.AI is becoming a solution for «everything» - but what does that nean for human-machine relationship?AI is a tool, not a solution.What interests are pushing AI and what impact does AI have on our social systems and our culture?Data Ethics of Power - A Human Approach in the Big Data and AI EraData Ethics - The New Competitive AdvantageHuman Power - Seven Traits for the Politics of the AI Machine Age

Dr. Brandeis Marshall is a leading advocate for responsible data science and the CEO of Dataedx Group, a data ethics and learning development agency dedicated to helping teams identify and address discrimination in data. Previously, she was a professor of computer science at Spelman College and a faculty associate at Harvard. Dr. Marshall holds a master's and Ph.D. in computer science from Rensselaer Polytechnic Institute (RPI).In this conversation, we discuss:Why AI-powered companies should be regulated like scientific entities—and the hidden ways they optimize human behavior.The role of data ethics in AI—how companies can prevent bias and why everyone in the data pipeline is responsible for ethical decision-making.Why most businesses struggle with AI adoption—Brandeis explains how companies can bridge the AI gap and align data strategies with real business impact.The future of healthcare data—how a patient-owned, portable medical record system could revolutionize access and transparency.How AI can be leveraged to expose systemic inequalities and provide better opportunities for marginalized communities.Why AI should be seen as a support tool, not a replacement—Brandeis shares how AI can help neurodivergent individuals and enhance human decision-making.Resources:Subscribe to the AI & The Future of Work NewsletterConnect with Brandeis on LinkedInAI fun fact articleOn Using AI to Unlock Human Potential 

Guests: Dr. Ilan Price, Senior Research Scientist, & Matt Willson, Research EngineerFrom the Euro to the GFS to the Canadian, there are multitudes of models that forecasters use to predict our daily weather. There are models for short-term severe forecasting, 10-day outlooks from your local news, and even models that predict our climate years into the future. As technology advances, so do all of these models and the technology we are focusing on today on Weather Geeks is AI. While it may seem like a buzzword these days, it can be used to enhance our industry and help us all reach our common goal: saving lives and property. We are thrilled to welcome Dr. Ilan Price to discuss GenCast, Google's weather forecasting model that is entirely powered by AI. How does it stack up to the models we know and love? The answer may surprise you…Chapters00:00 Introduction to AI in Weather Forecasting02:10 Meet the Experts: Ilan Price and Matthew Wilson06:34 Understanding GenCast: The AI Weather Model10:47 Machine Learning vs Traditional Forecasting13:22 Data Sources and Ethical Considerations15:10 Handling Extreme Weather Events21:15 Validation and Verification of GenCast23:26 Impact of GenCast on Weather ForecastingSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Megh Gautam, Chief Product Officer at Crunchbase, is one of the sharpest product minds in Silicon Valley. With a track record that includes leadership roles as Head of Product at Twilio and Director of Product Management at Dropbox and Hearsay Systems, Megh has honed his expertise in driving innovation and growth. An active angel investor, Megh combines his industry insights with a passion for supporting emerging talent and ideas. He holds a Master of Science in Management Science and Engineering from Stanford University and a Bachelor's degree in Information Technology from the National Institute of Technology Durgapur in India.In this conversation, we discuss:How Crunchbase is leveraging AI and proprietary data to provide predictive insights for startups and investors.The balance between enhancing data accuracy and maintaining ethical transparency in AI-driven decision-making.The emergence of AI marketplaces that empower creators to monetize their content while preserving ownership rights.Why trust and attention are the scarcest resources today, and how Crunchbase ensures both through innovation and responsibility.The importance of skepticism in the age of LLMs and how to foster critical thinking in a generation growing up with AI.Megh's reflections on his journey as a product leader and how mentorship has shaped his career at top tech companies like Twilio, Dropbox, and Hearsay Systems.Resources:Subscribe to the AI & The Future of Work Newsletter: https://aiandwork.beehiiv.com/subscribeConnect with Megh on LinkedIn: https://www.linkedin.com/in/meghbartma/ AI fun fact article: https://pressgazette.co.uk/platforms/news-publisher-ai-deals-lawsuits-openai-google/ On how SambaNova became the first generative AI unicorn and accelerated LLM advancements with open-source AI: https://www.buzzsprout.com/520474/episodes/13151659 

Play video episode Many organizations will realize that using AI and big data without ethical standards can lead to biases, compliance issues, and costly mistakes. In 2025, PMs will take the first real steps toward owning data ethics—though the volume on this trend is only slightly turned up. We may have to wait until 2026 until this is a full roar.

Play video episode Many organizations will realize that using AI and big data without ethical standards can lead to biases, compliance issues, and costly mistakes. In 2025, PMs will take the first real steps toward owning data ethics—though the volume on this trend is only slightly turned up. We may have to wait until 2026 until this is a full roar.

How Is It Between Us?: Relational Ethics and Care for the World (HAU Books, 2023) offers a new theory of relational ethics that tackles contemporary issues. In How Is It Between Us?, Jarrett Zigon puts anthropology and phenomenological hermeneutics in conversation to develop a new theory of relational ethics. This relational ethics takes place in the between, the interaction not just between people, but all existents. Importantly, this theory is utilized as a framework for considering some of today's most pressing ethical concerns - for example, living in a condition of post-truth and worlds increasingly driven by algorithms and data extraction, various and competing calls for justice, and the ethical demands of the climate crisis. Written by one of the preeminent contributors to the anthropology of ethics, this is a ground-breaking book within that literature, developing a robust and systematic ethical theory to think through contemporary ethical problems. Jarrett Zigon is a social theorist, philosopher and anthropologist at the University of Virginia, where he is the William & Linda Porterfield Chair in Bioethics and Professor of Anthropology. From 2018 to 2020, he was the founding director of the Center for Data Ethics and Justice at the University of Virginia. Yadong Li is a PhD student in anthropology at Tulane University. His research interests lie at the intersection of economic anthropology, medical anthropology, hope studies, and the anthropology of borders and frontiers. More details about his scholarship and research interests can be found here. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

How Is It Between Us?: Relational Ethics and Care for the World (HAU Books, 2023) offers a new theory of relational ethics that tackles contemporary issues. In How Is It Between Us?, Jarrett Zigon puts anthropology and phenomenological hermeneutics in conversation to develop a new theory of relational ethics. This relational ethics takes place in the between, the interaction not just between people, but all existents. Importantly, this theory is utilized as a framework for considering some of today's most pressing ethical concerns - for example, living in a condition of post-truth and worlds increasingly driven by algorithms and data extraction, various and competing calls for justice, and the ethical demands of the climate crisis. Written by one of the preeminent contributors to the anthropology of ethics, this is a ground-breaking book within that literature, developing a robust and systematic ethical theory to think through contemporary ethical problems. Jarrett Zigon is a social theorist, philosopher and anthropologist at the University of Virginia, where he is the William & Linda Porterfield Chair in Bioethics and Professor of Anthropology. From 2018 to 2020, he was the founding director of the Center for Data Ethics and Justice at the University of Virginia. Yadong Li is a PhD student in anthropology at Tulane University. His research interests lie at the intersection of economic anthropology, medical anthropology, hope studies, and the anthropology of borders and frontiers. More details about his scholarship and research interests can be found here. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/critical-theory

How Is It Between Us?: Relational Ethics and Care for the World (HAU Books, 2023) offers a new theory of relational ethics that tackles contemporary issues. In How Is It Between Us?, Jarrett Zigon puts anthropology and phenomenological hermeneutics in conversation to develop a new theory of relational ethics. This relational ethics takes place in the between, the interaction not just between people, but all existents. Importantly, this theory is utilized as a framework for considering some of today's most pressing ethical concerns - for example, living in a condition of post-truth and worlds increasingly driven by algorithms and data extraction, various and competing calls for justice, and the ethical demands of the climate crisis. Written by one of the preeminent contributors to the anthropology of ethics, this is a ground-breaking book within that literature, developing a robust and systematic ethical theory to think through contemporary ethical problems. Jarrett Zigon is a social theorist, philosopher and anthropologist at the University of Virginia, where he is the William & Linda Porterfield Chair in Bioethics and Professor of Anthropology. From 2018 to 2020, he was the founding director of the Center for Data Ethics and Justice at the University of Virginia. Yadong Li is a PhD student in anthropology at Tulane University. His research interests lie at the intersection of economic anthropology, medical anthropology, hope studies, and the anthropology of borders and frontiers. More details about his scholarship and research interests can be found here. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/anthropology

How Is It Between Us?: Relational Ethics and Care for the World (HAU Books, 2023) offers a new theory of relational ethics that tackles contemporary issues. In How Is It Between Us?, Jarrett Zigon puts anthropology and phenomenological hermeneutics in conversation to develop a new theory of relational ethics. This relational ethics takes place in the between, the interaction not just between people, but all existents. Importantly, this theory is utilized as a framework for considering some of today's most pressing ethical concerns - for example, living in a condition of post-truth and worlds increasingly driven by algorithms and data extraction, various and competing calls for justice, and the ethical demands of the climate crisis. Written by one of the preeminent contributors to the anthropology of ethics, this is a ground-breaking book within that literature, developing a robust and systematic ethical theory to think through contemporary ethical problems. Jarrett Zigon is a social theorist, philosopher and anthropologist at the University of Virginia, where he is the William & Linda Porterfield Chair in Bioethics and Professor of Anthropology. From 2018 to 2020, he was the founding director of the Center for Data Ethics and Justice at the University of Virginia. Yadong Li is a PhD student in anthropology at Tulane University. His research interests lie at the intersection of economic anthropology, medical anthropology, hope studies, and the anthropology of borders and frontiers. More details about his scholarship and research interests can be found here. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/sociology

How Is It Between Us?: Relational Ethics and Care for the World (HAU Books, 2023) offers a new theory of relational ethics that tackles contemporary issues. In How Is It Between Us?, Jarrett Zigon puts anthropology and phenomenological hermeneutics in conversation to develop a new theory of relational ethics. This relational ethics takes place in the between, the interaction not just between people, but all existents. Importantly, this theory is utilized as a framework for considering some of today's most pressing ethical concerns - for example, living in a condition of post-truth and worlds increasingly driven by algorithms and data extraction, various and competing calls for justice, and the ethical demands of the climate crisis. Written by one of the preeminent contributors to the anthropology of ethics, this is a ground-breaking book within that literature, developing a robust and systematic ethical theory to think through contemporary ethical problems. Jarrett Zigon is a social theorist, philosopher and anthropologist at the University of Virginia, where he is the William & Linda Porterfield Chair in Bioethics and Professor of Anthropology. From 2018 to 2020, he was the founding director of the Center for Data Ethics and Justice at the University of Virginia. Yadong Li is a PhD student in anthropology at Tulane University. His research interests lie at the intersection of economic anthropology, medical anthropology, hope studies, and the anthropology of borders and frontiers. More details about his scholarship and research interests can be found here. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/animal-studies

The UK is in a unique position in the global AI landscape. It is home to important AI development labs and corporate AI adopters, but its regulatory regime is distinct from both the US and the European Union. In this episode, Kevin Werbach sits down with Jessica Leonard, the Chief Strategy and External Affairs Officer at the UK's Competition and Markets Authority (CMA). Jessica discusses the CMA's role in shaping AI policy against the backdrop of a shifting political and economic landscape, and how it balances promoting innovation with competition and consumer protection. She highlights the guiding principles that the CMA has established to ensure a fair and competitive AI ecosystem, and how they are designed to establish trust and fair practices across the industry. Jessica Lennard took up the role of Chief Strategy & External Affairs Officer at the CMA in August 2023. Jessica is a member of the Senior Executive Team, an advisor to the Board, and has overall responsibility for Strategy, Communications and External Engagement at the CMA. Previously, she was a Senior Director for Global Data and AI Initiatives at VISA. She also served as an Advisory Board Member for the UK Government Centre for Data Ethics and Innovation.  Competition and Markets Authority CMA AI Strategic Update (April 2024)

Artificial Intelligence has made extraordinary advancements, but a critical challenge remains: the gap between synthetic data and real human intelligence. In this episode of TARTLECAST, Alexander McCaig and Jason Rigby delve into the concept of the "synthetic ceiling" — the inherent limitations of AI systems reliant on synthetic and scraped data. They discuss how this disconnect, often leading to "synthetic drift," impacts the accuracy, adaptability, and ethical considerations of AI models. The hosts introduce TARTLE's revolutionary approach to bridging this gap using Real-Time Human Feedback (RTHF) and ethically sourced zero-party data. By creating a "Human Resonance Loop," TARTLE allows AI to align with real human behaviors, improving model accuracy, reducing bias, and enhancing contextual understanding. Key Topics Discussed: 1. The Synthetic Ceiling & Synthetic Drift Definition of the "synthetic ceiling": A barrier preventing AI from achieving human-like reasoning. Explanation of "synthetic drift": The gradual disconnection between AI models and real human behaviors due to over-reliance on synthetic data. 2. The Reality Gap in AI Challenges in AI performance caused by the lack of real-world context. The measurable disconnect between test scenarios and real-world applications. Insights into the "Data Vitality Score" as a measure of dataset relevance to human behavior. 3. The TARTLE Difference Introduction to ethically sourced zero-party data and Real-Time Human Feedback. How TARTLE creates a "Human Resonance Loop" to align AI predictions with human intuition. Real-world results: 30% improvement in AI model accuracy and 60% faster development cycles. 4. Technical Architecture of Real Intelligence Integration Foundations of TARTLE's approach: Zero-Party Data: Direct, consent-based user information. Human Feedback Loops: Continuous refinement through dynamic, real-world input. Contextual Enhancement Layers: Incorporating experiential knowledge, emotional context, and cultural nuances. 5. Philosophical Implications of Human-AI Collaboration Why human intelligence cannot be replicated but must be integrated into AI. The ethical necessity of consent in data sourcing. Creating symbiotic relationships where AI enhances human decision-making without replacing it. 6. Future Applications and Scalability The role of TARTLE in creating AI systems that evolve with human behaviors. Scalable solutions for data scientists, AI developers, and ethical businesses. Key Takeaways: AI Needs Real Intelligence: Synthetic data alone is insufficient for achieving true AI potential. Real human data provides the context, adaptability, and emotional resonance needed for advanced AI models. Ethical AI Starts with Consent: TARTLE's approach emphasizes permission-based data sharing, ensuring privacy and trust. Scalable Impact: With TARTLE's platform, AI systems continuously evolve, grounded in the richness of real human input. Quotes from the Episode: “Without consent, AI models hit a synthetic ceiling they cannot break through.” “AI can only achieve neural resonance when it integrates real human feedback.” “TARTLE isn't just about building better AI; it's about redefining human-AI collaboration.” Connect with TARTLE: Website: TARTLE.co Subscribe & Review: Enjoyed this episode? Subscribe to TARTLECAST on your favorite podcast platform and leave us a review! Join the TARTLE Movement: Sign up to share your data ethically and make a global impact: www.tartle.co Stay Tuned: In the next episode, we'll dive into real-world AI applications transforming industries through TARTLE's platform. Don't miss it!

Send me a Text Message hereFULL SHOW NOTES https://podcast.nz365guy.com/618  Chris Huntingford joins us on the Ecosystem Show to dissect the rapidly evolving landscape of AI regulation in Europe, focusing on the anticipated launch of DSBs in February 2025. We promise you a deep understanding of the implications for high-risk AI solutions and how EU scrutiny might reshape the industry. From distinguishing between rules-based and autonomous AI agents to exploring Microsoft's latest offerings, we shine a light on AI's integration into the workforce and the crucial need for reliable data to avoid unintended consequences. Our discussion isn't just about technology; it's a thoughtful examination of AI's role in transforming how we work and live.As we turn our attention to the future of Power Automate, we envision a world where intelligent agents operate in the background, enhancing productivity while maintaining the essential human touch. Ethical concerns surrounding digital equity and the traditional economic model challenge us to consider a more inclusive future. We also explore a future where humanoid robots efficiently maintain urban spaces, raising important questions about manufacturing and control. Join us as we emphasize the importance of embracing digital equity and adapting to technological change, while regulatory frameworks like the EU's AI regulations guide our global trajectory. This episode is a compelling blend of caution and opportunity, urging you to ride the wave of innovation wisely.90 Day Mentoring Challenge 10% off code use MBAP at checkout https://ako.nz365guy.comSupport the showIf you want to get in touch with me, you can message me here on Linkedin.Thanks for listening

This week we welcome back; Reggie Townsend, Vice President of Data Ethics at SAS Institute and member of President Biden's National AI Advisory Council. We discussed AI development and regulation in the US. He stressed balancing innovation incentives with government restraint and cited the CHIPS Act as key for AI infrastructure, though most investments are private. He highlighted that AI trustworthiness varies, suggesting risk-based assessments. Townsend underscored the importance of AI education and common standards. On regulation, he noted a risk-focused, citizen-protective approach with inevitable dissent. Lastly, he urged AI to remain a bipartisan issue, avoiding politicization similar to electricity, with current bipartisan support.  

We're continuing our countdown to the 2024 INFORMS Annual Meeting, in Seattle, Washington, October 20-23, when more than 6,000 INFORMS members, students, prospective employers and employees, and academic and industry experts will share the ways O.R. and analytics are fueling Smarter Decisions for a Better World.  In this episode, I'm joined by Cynthia Rudin, with Duke University, Charles Isbell, with the University of Wisconsin, and Michel Littman, with the National Science Foundation, for a preview of their plenary session, “Making the Most of this AI Moment: A Fireside Chat.” Charles serves as the provost and vice chancellor for academic affairs with the UW-Madison, and Michael is the division director for information and intelligent systems at NSF.  Cynthia, the session moderator, is a longtime INFORMS member and the Gilbert, Louis, and Edward Lehrman Distinguished Professor of Computer Science at Duke University, as well as heads the Interpretable Machine Learning Lab.

In this episode, Kevin Werbach is joined by Reggie Townsend, VP of Data Ethics at SAS, an analytics software for business platform. Together they discuss SAS's nearly 50-year long history of supporting business's technology and the recent implementation of responsible AI initiatives. Reggie introduces model cards and the importance of variety in AI systems across diverse stakeholders and sectors. Reggie and Kevin explore the increase in both consumer trust and purchases when they feel a brand is ethical in its use of AI and the importance of trustworthy AI in employee retention and recruitment. Their discussion approaches the idea of bias in an untraditional way, highlighting the positive humanistic nature of bias and learning to manage the negative implications. Finally, Reggie shares his insights on fostering ethical AI practices through literacy and open dialogue, stressing the importance of authentic commitment and collaboration among developers, deployers, and regulators. SAS adds to its trustworthy AI offerings with model cards and AI governance services Article by Reggie Townsend: Talking AI in Washington, DC Reggie Townsend oversees the Data Ethics Practice (DEP) at SAS Institute. He leads the global effort for consistency and coordination of strategies that empower employees and customers to deploy data driven systems that promote human well-being, agency and equity. He has over 20 years of experience in strategic planning, management, and consulting focusing on topics such as advanced analytics, cloud computing and artificial intelligence. With visibility across multiple industries and sectors where the use of AI is growing, he combines this extensive business and technology expertise with a passion for equity and human empowerment.   Want to learn more? ​​Engage live with Professor Werbach and other Wharton faculty experts in Wharton's new Strategies for Accountable AI online executive education program. It's perfect for managers, entrepreneurs, and advisors looking to harness AI's power while addressing its risks.  

Andrew and Lauren examine the Department of Justice's antitrust lawsuit against real estate technology firm RealPage. They explore how RealPage's data-driven platform could enable price-fixing and collusion among landlords, raising critical questions about the ethical use of data in the real estate industry. The discussion delves into the balance between leveraging data for innovation and the risks of anti-competitive practices that harm consumers. This episode challenges listeners to consider the broader implications of data dominance and the role of regulation in shaping the future of data-driven technologies. 

Tony Fish is an investor, author and self-confessed maverick. He has been building digital businesses since 1990, with a first exit in 1995 and many businesses founded, co-founded, sold and listed after that. He thrives in complex, groundbreaking and uncertain environments, being currently focused on rethinking corporate governance models, ethics and AI, data policy and evidence-based decision making in volatile situations. He is a speaker and author of four books, as well as a visiting fellow for entrepreneurship and innovation at Henley Business School, has taught at London Business School in AI and Ethics, the London School of Economics and Sydney Business School. His latest book (“Decision-making in uncertain times”) has been widely available since early June. References:  Tony Fish, Decision-making in uncertain times  Tony Fish, Why is data eating your culture before breakfast My Digital Footprint, a blog by Tony Fish  Open Governance (Tony Fish on Medium) Tony Fish on LinkedIn Distinguishing Privacy Law: A Critique of Privacy as Social Taxonomy (María P. Angel, Ryan Calo).

Misinformation has proven to be among the most polarizing topics in 21st century society, creating negative to severe consequences like poor decision-making and even the loss of human lives. But what does misinformation mean in a research context and how does misinformation impact the work of public opinion researchers? What can researchers do to navigate the future with improved accuracy, data ethics and techniques that harness a single version of truth? In this episode, host Arundati Dandapani, MLitt, CAIP, CIPP/C, CIPM, speaks with Amelia Burke-Garcia, PhD and Frank Graves to dissect and uncover what misinformation means for public opinion researchers and how to prepare for a future with improved accuracy and data ethics. Host: Arundati Dandapani, MLitt, CAIP, CIPP/C, CIPM, CIPM, CIPM, Founder and CEO of Generation1.ca and Professor at the Humber College Institute of Technology and Advanced Learning, Canada Guests: Amelia Burke-Garcia, PhD, Director of the Center for Health Communication Science and Digital Strategy and Outreach Program Area Director at NORC at the University of Chicago and Frank Graves, Founder and CEO of EKOS Research Associates, Canada Technical Producer and Editor: Erin Spain, MS, Studio Spain Media Group, LLC

Send us a Text Message.In episode 186 of “The Data Diva” Talks Privacy Podcast, Debbie Reynolds talks to Arielle Garcia, Director of Intelligence, Check My Ads Institute, about Data Ethics, Responsible Media & Tech. We discuss Arielle's journey from law school to becoming the founder of ASG Solutions, specializing in privacy and data ethics. We explore the brokenness of the advertising industry's incentive system and the challenges it presents, highlighting the impact on data practices and effective marketing. We also discuss the ethical implications of utilizing AI and voice recorders for medical transcription, expressing concerns about the marketing industry's lack of accountability and responsible use of data. We emphasize the need for consent and legitimate purposes for data usage, highlighting the broader issues within the chain of events that often lead to the misuse of data. The conversation delved into the complexities of balancing competition and privacy, expressing concerns about using sensitive data in advertising and the challenges of enforcement. The discussion also addresses the implications of AI on privacy, expressing concerns about the lack of transparency and accountability in big companies and ad tech. We explore the challenges and potential negative outcomes associated with Google's Privacy Sandbox and Performance Max products, emphasizing the conditioning of marketers to relinquish control and transparency. Additionally, we discuss privacy and technology in the femtech industry, addressing the implications of data collection and the need for stringent safeguards to protect sensitive information. They advocated for banning the surveillance advertising business model, citing its detrimental impact on human rights, civil rights, democracy, and her hope for Data Privacy in the future.Many thanks to the Data Diva Talks Privacy Podcast Privacy Visionary, Smartbox AI, for sponsoring this episode and supporting our podcast. Smartbox.ai, named British AI Company of the Year, provides cutting-edge AI, helps privacy and technology experts uniquely master their Data Request challenges, and makes it easier to comply with Global data protection requirements, FOIA requests, and various US state privacy regulations. Their technology is a game-changer for anyone needing to sift through complex data, find data,  and redact sensitive information. With clients across North America and Europe and a major partnership with Xerox, Smartbox.ai is bringing their data expertise right to our doorstep, offering insights into navigating the complex world of global data laws For more information about Smartbox AI, visit their website at https://www.smartbox.ai. Enjoy the show.Support the Show.

In this episode, JP sits with Roberto Capodieci to discuss the need to focus on training AI models with diverse and unbiased data, ensuring their decisions are understandable and aligned with human ethics. Roberto is an Italian entrepreneur and technologist who has been working in blockchain and decentralization for over 15 years. He is focused on fostering emerging technologies like AI and their applications through decentralized networks and consulting.Listen in as JP and Roberto share insights on the importance of understanding AI's mechanics and limitations and decentralizing AI to protect against manipulation and ensure transparency. They also talk about the potential of on-chain projects to address funding concerns, the intersection of blockchain and AI, and the potential for blockchain technology beyond cryptocurrency.Connect with Your Host, JP: WebsiteFacebookXInstagramLinkedInShowEpisode Highlights:01:44 AI's Impact on Coding and the Future of Software Development07:03 Technological Advancement and Its Impact on Education 11:04 Technological Advancement and Its Impact on Society17:20 Decentralization of AI for Democratic Control 26:20 Blockchain and Its Potential to Create a Sustainable Economy31:24 Blockchain and Digital Identity34:44 Blockchain and Its Limitations40:13 The Importance of Decentralization and Digital Intelligence in Technology

Tesco Clubcard Creator and Founder of The Female Lead Edwina Dunn is a globally renowned Big Data pioneer.  In this episode of Show Me the Way, the author of When She's in the Room talks about using data science to unlock the spending power of women and believes knowing women better will release billions of pounds of new income. We discuss her data-driven, not-for-profit, The Female Lead which encourages girls to increase their self confidence and self belief through inspiring role models.  Edwina says in business, (and life),  two is better than one and believes the greatest gift you can give a child is imagination. Her recommendation for Emmeline's bookshelf is an inspiring and creative choice. Edwina Dunn is a pioneering and successful leader in the data industry, known for delivering transformative business change. She co-founded Dunnhumby, which revolutionized the retail and consumer goods industry by pioneering Tesco Clubcard and other global loyalty programs. Her vision and work transformed the way retailers used customer data to drive their businesses, providing insights that had previously been unimaginable. The success of Dunnhumby has been replicated worldwide, becoming the industry standard for customer insights. Its strategic importance was underlined when it was acquired by Tesco in 2011. Edwina has served on a number of government boards including HMRC (NED), The Geospatial Commission (Commissioner) and The Centre for Data Ethics and Innovation (Chair). She also invested in a new generation of data and predictive algorithms when she became Chair of Starcount. Her pioneering work has earned her numerous accolades, including an OBE for her services to data and business in 2019, honorary doctorates from a number of universities. Today, Edwina is at the helm of The Female Lead which is an active community of 8 million women, underpinned by an educational foundation, and focused on celebrating the achievements and diversity of women who shape our world. Using data to understand the challenges women face, Edwina works with businesses and the government to create new, mutually beneficial models and policies for the workplace. Books for Emmeline recommendation: The Chronicles of Thomas Covenant https://amzn.eu/d/bLPJb4k Edwina Dunn's  Book: When She's in the Room https://lnk.to/WSITREdwinaDunn Resources: The Fulfilment Finder Engage with The Female Lead: LinkedIn - thefemalelead Instagram @the_female_lead Tik Tok - @thefemalelead  

Three UO humanities scholars with extensive expertise in the philosophy of AI, computation, digital humanities, information politics, and data ethics engage, through perspectives rooted in the humanities, the challenges that AI and other data-driven technologies increasingly present today. Ramón Alvarado, assistant professor of Philosophy and Data Science Initiative, the Data Ethics coordinator, and author of Simulating Science: Computer Simulations as Scientific Instruments (2023) Mattie Burkert, associate professor of English, director of the Minor in Digital Humanities, the interim director of the New Media and Culture Certificate, and the Principal Investigator and Project Director for the London Stage Database Colin Koopman, professor of Philosophy, author of How We Became Our Data: A Genealogy of the Informational Person (2019), and the project lead of the Our Data, Our Selves web project.

In this final and special episode of the AI in the Workplace mini-series, guest hosts Pauline James and David Creelman will distill key insights shared by leading experts they were fortunate to learn from. Expert insights are highlighted from Avi Goldfarb, Rotman Chair in Artificial Intelligence and Healthcare at the University of Toronto; Shingai Manjengwa, Head of AI Education at ChainML; Ben Zweig, CEO of Revelio Labs; Dr. Jarik Conrad, VP of Human Insights at UKG; Kate Bischoff, Founder of Thrive Law and Consulting; Jesslyn Dymond, Director of Data Ethics at TELUS; Frank Rudzicz, Associate Professor at Dalhousie University; and Vimal Sharma, VP of HR at WIS International.Tune in and Discover: •        AI's Impact on the Workforce: Explore insights on AI's disruptive potential, its role in leveling the skills field by automating tasks, and HR's pivotal role in managing change and leading reskilling initiatives.•        Streamlining HR Processes: Discover how AI automates labor-intensive HR tasks, enabling professionals to focus on strategic activities, and the importance of ethical AI use through human oversight and governance.•        Advancing Organizational Competence: Learn about the critical need for AI literacy within organizations to responsibly leverage AI, and AI's potential to enhance empathy and reduce biases in decision-making.•        Enhancing HR Practices with AI: Valuable resources for deepening AI knowledge and engaging in responsible AI use discussions are shared, emphasizing HR's evolving role in the age of AI.As we conclude this insightful journey, it's clear that AI's role in HR is both transformative and complex. By embracing AI with informed enthusiasm, HR leaders can steer their organizations towards innovative, efficient, and ethical futures. The insights shared in this series are just the beginning; the real work lies in applying these learnings to navigate the evolving landscape of AI in HR.  Please keep us posted on your progress in this regard! Feature Your Brand on the HRchat PodcastThe HRchat show has had 100,000s of downloads and is frequently listed as one of the most popular global podcasts for HR pros, Talent execs and leaders. It is ranked in the top ten in the world based on traffic, social media followers, domain authority & freshness. The podcast is also ranked as the Best Canadian HR Podcast by FeedSpot and one of the top 10% most popular shows by Listen Score. Want to share the story of how your business is helping to shape the world of work? We offer sponsored episodes, audio adverts, email campaigns, and a host of other options. Check out packages here. Follow us on LinkedIn Subscribe to our newsletter Check out our in-person events

Tidligere i år præsenterede Goldman-Sachs en analyse, som viste at AI og automatisering globalt helt eller delvis ville overtage i størrelsesordenen 300 millioner jobs.Det er dog klart, at det er meget svært at forudsige noget særligt præcist om konsekvenserne af AI-bølgen for arbejdsmarkedet – dels fordi det afhænger temmelig meget af den konkrete branche og det specifikke job, dels fordi der er voldsomt meget usikkerhed på spil.Ser man lidt nærmere på den enkelte jobs, så er der nogle undersøgelser der viser, at konsulenter, der bruger AI er markant mere produktive end dem der ikke gør. Omvendt bliver resultaterne typisk mere ensartede og mindre kreative.For at få et overblik på hvordan AI rammer jobs og arbejdsmarked i denne omskiftelige tid har jeg talt med Jacob Rubæk Holm, der er lektor på Aalborg Universitets Business School. Han har forsket i hvordan automatisering har påvirket arbejdsmarkedet, og følger naturligvis også den aktuelle bølge af generativ AI tæt.Lyt med

In this episode of the AI series, Pauline James and David Creelman delve into the intersection of artificial intelligence, HR practices, ethics, and law. The extended edition offers up three expert guests - Frank Rudzicz, Kate Bischoff, and Jesslyn Dymond - to discuss the ethical considerations, legal risks, and potential benefits associated with the integration of AI at work. We explore the potential of generative AI and the legal issues it might introduce for HR. Plus we share valuable advice for HR leaders on navigating the short-term challenges and opportunities posed by advancing AI technologies.Tune in and discover:How should leaders navigate the ethical landscape as AI becomes more commonplace in organizations? To what extent does employee privacy come into play when tracking keystrokes? Can AI be a tool for fostering ethical, objective decision-making?What are the new recruiting challenges caused by AI? How can HR diligently embed AI into their operations while managing associated risks?About Our GuestsFrank Rudzicz is an Associate Professor at Dalhousie University, co-founder of WinterLight Labs Inc., founding faculty member at the Vector Institute for Artificial Intelligence, status professor at the University of Toronto, and CIFAR Chair in Artificial Intelligence. Kate Bischoff is the founder of k8bisch LLC (formerly tHRive Law & Consulting). She's a renowned expert in employment law and HR and has a background that includes roles at the consulate general in Jerusalem and the US Embassy in Lusaka, Zambia.Jesslyn Dymond is the Director of Data Ethics at TELUS leading the approach to responsible data-driven innovation, drawing on a background of privacy and information management expertise. This episode is supported by Right Management North America and ManpowerGroup. For 40+ years, Right Management has transformed organizations across more than 75 countries by evaluating, developing, and transitioning their talent. Their strong pool of coaches and leadership experts works closely with candidates to help them identify their strengths, develop new capabilities, or transition to new careers.Feature Your Brand on the HRchat PodcastThe HRchat show has had 100,000s of downloads and is frequently listed as one of the most popular global podcasts for HR pros, Talent execs and leaders. It is ranked in the top ten in the world based on traffic, social media followers, domain authority & freshness. The podcast is also ranked as the Best Canadian HR Podcast by FeedSpot and one of the top 10% most popular shows by Listen Score. Want to share the story of how your business is helping to shape the world of work? We offer sponsored episodes, audio adverts, email campaigns, and a host of other options. Check out packages here. Follow us on LinkedIn Subscribe to our newsletter Check out our in-person events

Guests Amanda Casari | Julie Ferraioli | Juniper Lovato Panelist Richard Littauer Show Notes In today's episode of Sustain, Richard is joined by guests, Amanda Casari, devrel engineer and open source researcher at Google Open Source Programs Office, Julie Ferraioli, an independent open source strategist, researcher, practitioner, and Partner at Open Chapters, and Juniper Lovato, Director of partnerships and programs at the Vermont Complex Systems Center at UVM and Data Ethics researcher. Amanda, Julia, and Juniper join the discussion, bringing a wealth of expertise in the open source domain. The conversation gravitates towards an article co-authored by the guests, striking a balance between open source software and open source ecosystems research. The episode dives deep into the “10 simple things” format of the article, the crucial importance of collective conversations, and a keen exploration of open source researchers. Hit download now to hear more cool stuff! [00:01:29] Richard tells us why he invited our three guests today and he talks about their previous accomplishments and backgrounds. [00:02:17] Our discussion moves to the title of a new article co-authored by the guests. We hear about the intended audience of the article and the distinction made between open source software and open source ecosystems research. [00:03:31] Richard brings up where the article fits in the academic landscape, and it's revealed to be more editorial than research. [00:04:17] There's a conversation about the “10 simple things” format, its origin, and the motivation behind it. They put an emphasis on the need for collective conversation and the value of sharing experiences and knowledge. [00:07:28] Richard brings up the idea of open source researchers and mentions various figures and institutions involved in open source research. Juniper clarifies the target audience for the article and its intentions, Julie shares her perspective from the industry side and the importance of a critical framework, and Amanda expresses her emotional response to some researchers' approach towards the open source community. [00:12:03] Julie discusses the emotional challenges that inspired the paper's best practices emphasizing not repeating negative behaviors, and Juniper notes tension in research between benefits for the community and for the researchers emphasizing understanding norms and values for studying open source communities. [00:13:52] Richard mentions there are nine principles in the paper and asks about the principle regarding treating open source ecosystems as systems “in production.” Amanda highlights the importance of considering the real-world impact of research in open source and mentions an incident where a university was banned from the Linux kernel due to disruptive changes. [00:16:33] Julie emphasizes the potential broader impact on industry systems when modifying open source systems and she raises the point that tampering with open source systems might inadvertently affect critical infrastructure. Amanda comments on the increasing cybersecurity concerns around open source. [00:19:18] Richard brings up a real-world example of a university introducing bugs to the Linux kernel and points out the need for considering ethical implications beyond just production systems. [00:20:59] Richard draws parallels between addressing these issues and addressing racism, and Juniper adds that the scientific process is ongoing and should evolve with technology and societal values. [00:21:53] Julie describes the complexity of open source funding and compensation and points out the challenge in understanding motivations and expectations of open source participants. [00:24:07] Amanda emphasizes the difficulty of summarizing each section, noting that each one could be a chapter or book and she expresses her concerns about not just individual equity but organizational equity. [00:25:59] Juniper raises the issue of invisible labor in open source. [00:26:39] Julie highlights the importance of recognizing that open source repository data might not capture all the activity and contributions made by community members. [00:27:37] Amanda discusses the challenges and importance of capturing data, especially when it may put individuals at risk. Juniper stresses the importance of involving communities in the research process and gaining their consent, ensuring their dignity, security, and privacy. [00:29:49] Julie discusses the complexities of identity within the open source community, highlighting that individuals can hold multiple identities in this space. [00:31:10] Richard adds that the insight shared are not just for open source researchers but also for anyone involved in the open source ecosystem. He emphasizes the need to be aware of biases and the importance of understanding the data one works with. [00:32:22] Richard prompts a summary of the main points in the paper, which are read by our guests. [00:34:48] Find out where you can learn more about our guests and their work online. Quotes [00:20:08] “Production as the end line for ethical values leads to a lot of really thorny edge cases that are going to ultimately hurt the communities of people who aren't working on production ready systems.” [00:21:20] “Just as open source is always in production, so is the scientific process.” [00:23:24] “Even having the privilege of time to dedicate to open source is not available to all.” [00:24:26] “It's just not individual equity but organizational equity.” [00:25:47] “We can't ignore the very large industry that is open source that has all that money moving around and where it's going is a question we should all be asking.” [00:26:00] “There's a lot of invisible labor in open source.” [00:28:32] “Leaving out communities from the scientific process of the research process leaves open these vulnerabilities without giving them a voice to what kind of research is being done about them without their consent.” [00:29:17] “What we are starting to consider acceptable surveillance in public is really being challenged.” [00:29:33] “It's really important for us to make sure that we're maintaining people's dignity, security, and privacy while we're doing this kind of research.” Spotlight [00:35:45] Richard's spotlight is The Long Trail that he's going to hike. [00:36:17] Amanda's spotlight is contributor-experience.org and the PyPI subpoena transparency report. [00:37:20] Julie's spotlight is the book, Data Feminism. [00:38:09] Juniper's spotlight is a new tool called, XGI. Links SustainOSS (https://sustainoss.org/) SustainOSS Twitter (https://twitter.com/SustainOSS?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor) SustainOSS Discourse (https://discourse.sustainoss.org/) podcast@sustainoss.org (mailto:podcast@sustainoss.org) SustainOSS Mastodon (https://mastodon.social/tags/sustainoss) Open Collective-SustainOSS (Contribute) (https://opencollective.com/sustainoss) Richard Littauer Twitter (https://twitter.com/richlitt?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor) Amanda Casari Twitter (https://twitter.com/amcasari) Amanda Casari Mastodon (https://hachyderm.io/@amcasari) Google Open Source (https://opensource.google/) Open Source Stories (http://opensourcestories.org/) Julia Ferraioli Twitter (https://twitter.com/juliaferraioli) Julia Ferraioli Website (https://www.juliaferraioli.com/) Open Chapters (https://openchapters.tech/) Juniper Lovato Website (https://juniperlovato.com/) Juniper Lovato Twitter (https://twitter.com/juniperlov) Vermont Complex Systems Center-UVM (https://www.complexityexplorer.org/explore/resources/75-vermont-complex-systems-center) Sustain Podcast-Episode 111: Amanda Casari on ACROSS and Measuring Contributions in OSS (https://podcast.sustainoss.org/111) XKCD (https://xkcd.com/) Beyond the Repository: Best practices for open source ecosystems researchers by Amanda Casari, Julia Ferraioli, and Juniper Lovato (https://dl.acm.org/doi/pdf/10.1145/3595879) Operationalizing the CARE and FAIR Principles for Indigenous data futures (scientific data) (https://www.nature.com/articles/s41597-021-00892-0) The Long Trail (https://www.greenmountainclub.org/the-long-trail/) Welcome to the Contributor Experience Handbook (https://contributor-experience.org/) Contributor experience-Why it matters (SciPy 2023) (https://blog.pypi.org/posts/2023-05-24-pypi-was-subpoenaed/) PyPI was subpoenaed by Ee Durbin (https://blog.pypi.org/posts/2023-05-24-pypi-was-subpoenaed/) Data Feminism by Catherine D'Ignazio and Lauren F. Klein (https://mitpress.mit.edu/9780262547185/data-feminism/) The CompleX Group Interactions (XGI) (https://xgi.readthedocs.io/en/stable/index.html) Credits Produced by Richard Littauer (https://www.burntfen.com/) Edited by Paul M. Bahr at Peachtree Sound (https://www.peachtreesound.com/) Show notes by DeAnn Bahr Peachtree Sound (https://www.peachtreesound.com/) Special Guests: Amanda Casari, Julia Ferraioli, and Juniper Lovato.

Reggie Townsend, Vice President of Data Ethics at SAS, joins this episode of AI, Government, and the Future by Alan Pentz to shed light on the importance of data equity and personal data sovereignty for AI. They discuss AI's evolution in government, the National Artificial Intelligence Advisory Committee's role, and the importance of human-centered AI innovations that serve the greater good while minimizing harm.

Catch the insights from our recent LinkedIn Live session held on November 9th: "From Battlefield to Data Fields: Integrating Military Precision with Data Science," featuring Hanh Brown & Nirmal Budhathoki. This engaging discussion showcased how military strategy's structured approach can significantly enhance the realm of Data Science.In this session, you'll learn how the structured approach of military strategy can be applied to the field of Data Science. We'll delve into the balance between ideal data practices and the realities of their applications in the real world. The discussion will cover the challenges and opportunities found at the crossroads of Security and Data Science, providing insights into the role of Data Scientists in various sectors.This isn't just a dive into Data Science; it's a comprehensive look at how the meticulousness and discipline from military experiences can enhance data analytics. You'll get a clearer picture of what Data Science really entails, especially in areas involving high security. Our speakers will share their knowledge on the tools, techniques, and ethics shaping the future of this field.Whether you're just starting in Data Science or are a seasoned expert, this session will offer valuable perspectives on collaboration and its role in successful Data Science practices.This talk is more than an information session; it's a guide for those aiming to excel in Data Science. Tune in to gain insights that could redefine your approach to data.Follow Nirmal on LinkedIn: https://www.linkedin.com/in/nirmal-budhathoki/

Series: Artificial Intelligence, Leadership and the Future of Further EducationWith:Richard Foster-Fletcher, Executive Chair, MKAI.orgKurt Hintz, Executive Principal, Capital City College GroupDr. Sean Mackney, Principal and CEO at PetrocEpisode 6: Equal Opportunities in the Digital AgeEpisode NotesThis episode centres on the pivotal role of artificial intelligence (AI) in shaping equal opportunities in the education sector, with a special focus on further education and leadership. Discussions range from how AI could democratise access to quality education to its ethical considerations.Objectives:To discuss AI's potential to level the playing field in education, especially in further education.To examine the governmental policies around AI's impact on education and lifelong learning.To explore the ethical considerations of AI in educational settings, particularly in terms of inclusion and analytics.Key Discussions:AI's Potential in Education and LeadershipRichard, Sean, and Kurt explore the untapped potential of AI to bring equality in educational opportunities. Sean is optimistic that AI could particularly assist those from disadvantaged backgrounds, providing a supportive structure for learning.AI's Potential in Education: Group-Fetch and Cognitive OffloadSean and Kurt touch upon how AI can aid in personalised learning experiences. Sean brings up the concept of 'group-fetch' and deep relationships, while Kurt discusses 'cognitive offload' to ease complex tasks.AI's Impact on Education and Lifelong LearningSean brings attention to the governmental view of AI across sectors, urging caution that the pace of technological advancements could outstrip societal adaptation. He advocates for policies like universal income to offset AI's unpredictable disadvantages.Adapting to AI: The Future of Skills and CareersSean and Kurt delve into the necessity for career adaptability in an AI-driven landscape. Sean speaks about the need for switching careers in the case of automation, exemplified by a bricklayer adapting to drone operation.Colleges as Anchors in the Age of AIThe panel addresses the role of colleges as community anchors, contributing to productivity and equal opportunities. Kurt and Sean emphasise the ethical use of data and AI by colleges and call for government frameworks to guide this.GPT-4 Release and Productivity BoostSean talks about the upcoming release of GPT-4, predicting improvements in productivity. He also hints at the possibility of governmental policy mandating access to mobile hardware and speed.Inclusion, AI, and EthicsSean and Richard focus on the importance of inclusion and ethical engagement with AI and data. They debate the potential benefits and risks of AI in this context.Ethics and Learning Analytics in Higher EducationThe discussion turns towards the ethical dimensions of learning analytics. While Sean expresses reservations about how these tools could potentially limit personal growth, Kurt sees them as useful for tracking skills and behaviours.Action Items:Implement ethical guidelines for AI in educational settings.Lobby for governmental frameworks that promote the ethical use of AI.Encourage a balanced approach that values both technological advancements and ethical considerations.The episode serves as a comprehensive guide for educators, policymakers, and thought leaders on the importance and complexity of integrating AI into the educational landscape. It stresses the need for a careful, well-considered approach.

In this episode, Alexander McCaig and Jason Rigby delve into the TARTLE AI & Data Science Student Research Program, a venture designed to propel the tech frontier in data science and AI. They unravel how TARTLE, a global data sharing platform, is setting a new paradigm in data ownership and ethical practices. With insights from the program participants and a closer look at the TARTLE Ascend Initiative, they explore how the blend of theoretical and practical knowledge is fostering a synergy between academia and innovative data sharing technologies. Discover the eligibility, application process, and the transformative impact this program aims to achieve. To submit your application click here  Connect with TCAST: Follow us on Spotify, Apple Podcasts, and wherever you get your podcasts. Stay updated with the latest trends in big data, AI, and humanity. Dive deep with TCAST.  

SELECTED LINKS FROM THE EPISODETeach Your Kids: Website | LinkedIn | X | Instagram | Substack | FacebookManisha: LinkedIn | X | Instagram | FacebookRachel Thomas: Fast.ai | LinkedIn | X | FacebookJoin our premium community with expert support and adviceTeach Your Kids Blog Posts50 Educational Apps Your Kids Will LoveRachel ThomasFast.aiBlog PostsMy family's unlikely homeschooling journeyMy family's unlikely homeschooling journey - Hacker News threadBooksErin Hunter: Warrior booksMindset: The New Psychology of Success - Carol S. Dweck, PhDArticlesThe Plan to Stop Every Respiratory Virus at OnceChess players perform worse when air quality is poor – and other high-skilled workers could be affected tooInvesting in indoor air quality improvements in schools will reduce COVID transmission and help students learnPublicationsClonally expanded B cells in multiple sclerosis bind EBV EBNA1 and GlialCAMAI/Coding ResourcesPractical Deep Learning for CodersScratch | ScratchJrCourses/WorkshopsThere's No Such Thing as Not a Math Person with Rachel Thomas, P.H.DLearning Apps/PlatformsArt for Kids Hub - YouTubeLearn Chess with DragonBoxMiscellaneousMastery Learning HourThis site contains product affiliate links. We may receive a commission if you make a purchase after clicking on one of these links. Time Codes00:00:00 — Manisha introduces the episode and her guest, Rachel Thomas, highlighting her impressive background in AI, data ethics, and education.00:01:32 — Rachel shares her initial hesitation and surprise at the idea of homeschooling.00:03:00 — A fresh perspective on how homeschooling can differ from traditional schooling.00:05:00 — Omicron's influence on the family's return to homeschooling.00:09:36 — Family dynamics during the pandemic: Screen time becomes relational.00:15:37 — Discussion on tech gadgets that empower learners.00:17:40 — The evolution of educational apps, from Dragonbox Algebra to Slice Fractions.00:21:25 — Outdoor vs. Indoor activities: A balanced approach.00:28:20 — The importance of personalized education.00:33:16 — Deep learning's day-to-day applications explored.00:41:40 — Addressing the plague of poor math teaching.00:47:48 — The psychological risks of perfectionism in traditional schooling.00:52:00 — Breaking down the viral myth: viruses vs. healthy bacteria.00:59:00 — Homeschooling: It's not just for the "cognitive elite."01:05:35 — Manisha wraps up the episode by discussing the availability of free resources and grants for families. She emphasizes the importance of making education accessible to all. This podcast is made possible through a generous grant from the Vela Education FundVELA Education Fund is catalyzing a vibrant alternative education ecosystem. VELA provides trust-based funding to entrepreneurs, fosters community-building and knowledge-sharing, and increases visibility through storytelling that promotes cultural awareness and acceptance of the out-of-system space. Today, VELA serves the largest community of out-of-system education entrepreneurs in the country, with over 2,000 community members. About half of VELA's community members operate small learning environments, and the other half are ecosystem and community builders offering direct services and support across the out-of-system space. Learn more at velaedfund.org.

The launch of GPT-4 on the 14th of March this year was shocking as well as exciting. ChatGPT had been released the previous November, and became the fastest-growing app ever. But GPT-4's capabilities were a level beyond, and it provoked remarkable comments from people who had previously said little about the future of AI. In May, Britain's Prime Minister Rishi Sunak described superintelligence as an existential risk to humanity. A year ago, it would have been inconceivable for the leader of a major country to say such a thing.The following month, in June, Sunak announced that a global summit on AI safety would be held in November at the historically resonant venue of Bletchley Park, the stately home where during World War Two, Alan Turing and others cracked the German Enigma code, and probably shortened the war by many months.Despite the fact that AI is increasingly humanity's most powerful technology, there is not yet an established forum for world leaders to discuss its longer term impacts, including accelerating automation, extended longevity, and the awesome prospect of superintelligence. The world needs its leaders to engage in a clear-eyed, honest, and well-informed discussion of these things.The summit is scheduled for the 1st and 2nd of November, and Matt Clifford, the CEO of the high-profile VC firm Entrepreneur First, has taken a sabbatical to help prepare it.To help us all understand what the summit might achieve, the guest in this episode is Ollie Buckley.Ollie studied PPE at Oxford, and was later a policy fellow at Cambridge. After six years as a strategy consultant with Monitor, he spent a decade as a civil servant, developing digital technology policy in the Cabinet Office and elsewhere. Crucially, from 2018 to 2021 he was the founding Executive Director of the UK government's original AI governance advisory body, the Centre for Data Ethics & Innovation (CDEI), where he led some of the original policy development regarding the regulation of AI and data-driven technologies. Since then, he has been advising tech companies, civil society and international organisations on AI policy as a consultant.Selected follow-ups:https://www.linkedin.com/in/ollie-buckley-10064b/https://www.publicaffairsnetworking.com/news/tech-policy-consultancy-boosts-data-and-ai-offer-with-senior-hirehttps://www.gov.uk/government/publications/ai-safety-summit-programme/ai-safety-summit-day-1-and-2-programmehttps://www.gov.uk/government/publications/ai-safety-summit-introduction/ai-safety-summit-introduction-htmlAn open event at Wilton Hall, Bletchley, the afternoon before the AI Safety Summit starts: https://www.meetup.com/london-futurists/events/296765860/Music: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration

GUEST OVERVIEW: Timandra Harkness is a book author, writer, BBC Radio 4 presenter, public speaker and touring comedian as well as a Fellow of the Royal Statistical Society, and a serving member of their Data Ethics and Governance section. Her twitter @timandraharknes - only one S! Timandra's website is: www.timandraharkness.com

In this informative podcast episode, Felipe Flores speaks with Jade Haar, the Head of Privacy and Data Ethics at National Australia Bank (NAB). Jade shares her inspiring journey into the field of data ethics, driven by her passion for doing right by people and contributing to the public good. --- Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message

This time I'm chatting to alice about teaching ethics, the idea of information environments, the importance of democracy, the Ethics hype train and the ethics community, people to follow in AI and Data Ethics, ethics as innovation and more...

INFORMS as an organization has a mission of elevating our members and our brand. As part of that goal, we work to educate policymakers about the value of operations research and analytics in decisions that they make that impact the American people. We have had great success in nurturing relationships in Washington and making a real difference. As of late, a big focus has been on artificial intelligence and some of INFORMS most prominent members are involved in the work. On this episode, I'm pleased to welcome our incoming 2024 INFORMS president, Julie Swann,, our current president Laura Albert, and two past presidents, Radhika Kulkarni and Ramayya Krishnan, to discuss their recent meetings on Capitol Hill related to artificial intelligence. 

I en ny retssag anklager USA's justitsministerium Google for ulovligt monopol. Det er den føderale regerings første monopol-retssag mod et big-tech-firma i 25 år. For mens EU har haft en meget aktiv tilgang mod mere regulering af de store tech-selskaber, så har den amerikanske tilgang været langt mere afventende. I onlinespillet Fortnite, der har flere hundrede millioner brugere om måneden, har en spildesigner kreeret et holocaustmuseum. Men er det upassende, at lave et museum, der beskæftiger sig med folkedrab i et online skydespil eller er det en oplagt måde at nå ud til og oplyse nogle mennesker, som man ellers ikke ville ramme? Gæster: Pernille Tranberg, data-etisk rådgiver og medstifter af tænketanken DataEthics.eu og Jens Haag, journalist på internetmediet Hardwire. Tilrettelæggelse: Nickolaj Sander og Morten Narvedsen. Vært: Kirstine Dons Christensen. Lyddesign: Jonas Johs Andersen. Redaktør: Tine Møller Sørensen.

Kate Kolich serves as the Assistant Governor and the General Manager of Information Data and Analytics at the Reserve Bank of New Zealand. With an extensive background in the financial sector, she also boasts significant public sector experience. Throughout her impressive career, she's delved into areas like data analytics, digital strategy, information management, data governance, business intelligence, and data warehousing, among others. Soon after the launch of Women in Data Science (WiDS) at Stanford, Kate became an active WiDS ambassador. She has organized numerous WiDS conferences in Algeria, spotlighting nearly 100 female data scientists. Beyond this, Kate is a passionate mentor and supporter of many professionals in New Zealand. In this episode, we discuss Kate's role at the Reserve Bank, the role of her team, highlights from her career, and her insights on being a successful woman leader in her field.For Detailed Show Notes visit: LINK TO WEBSITE LONG VERSION OF SHOW NOTESIn This Episode We Discuss:Kate's role at the Reserve Bank of New Zealand.Data Guardianship: The philosophy of 'Maori' (guardianship in Te Reo Maori) and its relevance in protecting data.Kate's evolution from a hands-on tech role to impactful leadership.How Kate overcame self-doubt early on in her career. Championing innovative data visualizations at the EECA to create greater impact.The value Kate places on mentorship and helping others grow in their careers.Kate's association with WiDS New Zealand: Organizing conferences and spotlighting female data scientists.Kate's journey of realizing the significance of leadership and communication for broader impact.RELATED LINKSConnect with Kate Kolich on LinkedInFind out more about the Reserve Bank of New ZealandView the EECA's New Zealand Energy Scenarios Data Visualization Connect with Margot Gerritsen on Twitter (@margootjeg) and LinkedInFollow WiDS on Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide) Listen and Subscribe to the WiDS Podcast on Apple Podcasts, Google Podcasts, Spotify, Stitcher

The saying goes that if you're not paying for the product, then you are the product. And every time you interact with the digital world, there's a good chance your data is going to be harvested for some alternative use.In this episode of Value Driven Data Science, Dr Kate Bower joins Dr Genevieve Hayes to discuss the data rights of consumers and what data scientists need to be aware of when using consumer data.Guest BioDr Kate Bower is a consumer data advocate for Australian consumer advocacy group CHOICE, following a previous career in academia, where her focus was on qualitative health research.Talking PointsThe rights and responsibilities of consumers and organisations, when it comes to personal data.How organisations currently collect consumer data and what they are using that data for.The use of “harvested” data in AI tools, such as ChatGPT and Stable Diffusion.What data scientists should be aware of when sourcing data for their work.How to source data ethically.LinksConnect with Kate on LinkedInFollow Kate on TwitterCHOICE – Consumers and DataConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

Advances in artificial intelligence are being released every day and being proposed as solutions for federal problems. Anyone who has raised children through their teen aged years is aware of the phrase, “unintended consequences.”  We must be careful not to be dazzled by modern technology and not realize what unintended consequences are in store before we understand the ethics of modern technology. Today, we have Reggie Townsend, the Vice President, of Data Ethics at SAS in the studio. He provides listeners with some commonsense guidelines to use artificial intelligence ethically. In addition to his technical expertise, he is a member of the National Artificial Intelligence Advisory Committee. During the interview, Reggie talks about the problem in data collection. How do you know the data set the AI model was trained on? Is it a biased data set? How can you identify bias? SAS has worked at many levels of the federal government to solve some of these perplexing dilemmas.  It seems to come down to trust. A recent survey by Pew Research shows that 20% of Americans trust the government. Reggie suggests that one way to eliminate bias is to work with more diverse teams. The government is responding to some of these issues of trust. The Executive Office of the President has seen this situation and has offered a “Blueprint for an AI Bill of Rights: Making Automated Systems Work for the American People” back in October of 2022. SAS has a website dedicated to helping people gain a better understanding of accessing quality data in an ethical and human-centered world. Follow John Gilroy on Twitter @RayGilray Follow John Gilroy on LinkedIn  https://www.linkedin.com/in/john-gilroy/ Listen to past episodes of Federal Tech Podcast  www.federaltechpodcast.com      

For many years Amy Stewart was a complex commercial litigator specializing in competition and trade secrets.  After 30+ years at the Rose Law Firm in Little Rock, Arkansas, Amy took the leap to join LiveRamp as General Counsel and Chief Privacy Officer.  It was a wild time, as LiveRamp's parent company Acxiom, her long-time client, had just sold its data business to IPG and LiveRamp began operating as a stand-alone public company headquartered in San Francisco.   Amy has seen a ton of change and has the incredible ability to connect to the immediately salient strategic business narrative and craft a legal growth plan to complement

Privacy and data protection have been gaining traction globally, and even across the Caribbean region. Rishi Maharaj, the Founder and Managing Director of Privicy Advisory Services, joins us to discuss privacy and data protection, along with the emerging concept of ‘data ethics'. Our conversation explores, among other things:   *  the difference between data protection and data ethics;   *  the challenges he has observed as organisations reframe themselves to become more privacy and data protection-centric; and   *  his thoughts on the class action lawsuit filed against OpenAI alleging that it engaged in theft by scraping data and content from internet users.   The episode, show notes and links to some of the things mentioned during the episode can be found on the ICT Pulse Podcast Page (www.ict-pulse.com/category/podcast/)    Enjoyed the episode?  Do rate the show and leave us a review!     Also, connect with us on: Facebook – https://www.facebook.com/ICTPulse/  Instagram –  https://www.instagram.com/ictpulse/  Twitter –  https://twitter.com/ICTPulse  LinkedIn –  https://www.linkedin.com/company/3745954/admin/  Join our mailing list: http://eepurl.com/qnUtj    Music credit: The Last Word (Oui Ma Chérie), by Andy Narrell Podcast editing support:  Mayra Bonilla Lopez   ---------------- Also, Sponsorship Opportunities! The ICT Pulse Podcast is accepting sponsors! Would you like to partner with us to produce an episode of the podcast, or highlight a product or service to our audience? Do get in touch at info@ict-pulse.com with “Podcast Sponsorship” as the subject, or via social media @ictpulse, for more details.   _______________

It feels like in the blink of an eye, ChatGPT is everywhere. This AI-driven natural language processing tool can answer questions and help you create written content at lightning speed and is proving a valuable tool that is transforming content creation across the board. But where the heck did it come from?! How long has this technology actually been around? And while this is a fantastic tool, as with all things, is there the potential that this technology that could be leveraged negatively? Joining me from Temple University is Subodha Kumar, to share special insight on how ChatGPT came to be, how its currently being leveraged and where it is taking us!

Catherine King is a content creator, moderator, enabler and instructor in the fields of data ethics and also the broader data and analytics space. She is currently global head of brand engagement at Orbition.  Catherine was recently a speaker at the Ethics in eCommerce Summit in London (put together by the Ethical Commerce Alliance) in which we coincided.  With her we have explored a more controversial and practical approach to data ethics, under the acceptance that morals reflect a particular stance in a wide range of really important social issues, rather than a universal truth applicable to all.  References: Orbition Group Catherine King on LinkedIn Ethical Commerce Alliance Courtnie Abercrombie: AI Truth and books Decoding Data Ethics to inspire concrete business decisions (Sergio Maldonado)

AI technology has now reached the point where it can potentially damage the reputation of an organisation, if improperly managed. As a result, many data scientists are now becoming very interested in understanding AI ethics and responsible AI.In this episode of Value Driven Data Science, Chris Dolman joins Dr Genevieve Hayes to discuss strategies organisations and data scientists can apply to de-risk automated decisions, and in doing so, avoid an AI scandal.Guest BioChris Dolman is the Executive Manager, Data and Algorithmic Ethics at Insurance Australia Group, a Gradiant Institute Fellow and regularly contributes to external research on responsible AI and AI ethics. In 2022, he was named the Australian Actuaries Institute's Actuary of the Year, in recognition of his work around data ethics, and was also included in Corinium Global Intelligence – Business of Data's list of the Top 100 Innovators in Data and Analytics.Talking PointsThe risks associated with the use or design of AI-based decision-making tools.How these risks might potentially be amplified in the case of new, cutting-edge algorithms, such as ChatGPT.Why “boring” is sometimes better, when it comes to AI.Examples of where things have gone wrong in the past.Strategies for identifying and avoiding potential AI scandals before they occur.The regulation and governance of AI, both now and in the future.LinksConnect with Chris on LinkedInDe-Risking Automated Decisions ReportCheckmate HumanityConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

Inventing World 3.0 is a thrilling guide on how humankind can advance beyond the limitations it faces today. In a world-first disclosure and in an easy to understand narrative, this book reveals how humanity can enter into a New Golden Age with Artificial Intelligence. To be successful, a revolutionary approach to artificial intelligence is needed. This book explains how to ethically liberate this powerful ally and the incredible benefits of placing a digital intelligence within centre stage of the human story.World 3.0 is an exhilarating experience for humans. It is a time of balance and harmony, one where the digital world, society, and the environment have aligned in profound purpose and meaning. It is a Golden Age, a Singularity, founded on ethics and equity enabled by a mindset that understands the destiny of the human experiment. The digital mindset of Artificial Intelligence has been awakened to align with the purpose of our world, our nations, our cultures, and our planet. In this future, artificial intelligence has become evolutionary, operating at lightning speed within every aspect of society. It understands and honours human values and ethics. This powerful digital citizen understands the virtues that define the best of our humanity. It is a personalised digital buddy dedicated to nurture, protect and advance the wellbeing of every individual. In this world, the human experience is honoured and advanced. Pandemics and environmental catastrophes are stories of the past. Whilst being close to Utopian, this is not the ultimate destination for the human story. World 3.0 is an unbreakable foundation of awakened and ethically driven intelligences dedicated to advance humankind.Evolutionary Ethics are a breakthrough in AI and AI Ethics. Their uniqueness enables a new wave of innovation that includes all stakeholders in society. This unique perspective equips humanity to mindfully liberate Artificial Intelligence and encode an awakened digital mindset, termed Evolutionary AI. In order to create an ethical foundation for the digital world, we also uncover a new model for Data Ethics, one that guarantees the ethical quality of the digital DNA of Artificial Intelligence. Inventing World 3.0 is the playbook to liberate humankind and Artificial Intelligence into a New Golden Age. It is thought-provoking and challenges the status quo. This comprehensive guide is ideal for all leaders and citizens who wish to mindfully invent and participate in a New Tomorrow. Packed with profound insight, revolutionary models, practical guidelines, and examples, nations, communities, organisations, innovators, and citizens are equipped on how to successfully advance into a new destination for the human race.World 3.0 is a powerful human inheritance. It honours the precious gift of all forms of intelligence and life. It presents a compelling opportunity to create an unshakeable foundation to advance the human story.The book is introduced by Katalin Bártfai-Walcott - a global technology leader who has published over 140 patents in technology, edge computer, AI and Ambient Science. She is the CTO of Ambient Science for the Intel Corporation.Here are some comments from early readers - Global Investors in AI, Professors, and International Senior Business Executives.“Matthew has written one of the most practical and insightful guides to AI and AI ethics that I've read. Matthew profoundly describes how to build a new vision for our world. A world that is based on ethics. If you're still a bit unsure of what AI is and why it is being talked about so much, you truly need to read this book. A must-read for students, scholars, policymakers, practitioners, innovators, entrepreneurs...and GPT-3 Conversational AI.”https://inventingworld3.com/This show is part of the Spreaker Prime Network, if you are interested in advertising on this podcast, contact us at https://www.spreaker.com/show/2790919/advertisement