Podcasts about ai bias

Data Justice leader Germar Reed on how AI is quietly shaping who gets hired — and why a wave of data centers just hit pause.

Who Controls What You're Allowed to Believe? Ashley Rindsberg on Wikipedia, Google, AI Bias & the Hidden Information War Investigative journalist Ashley Rindsberg uncovers documented left-leaning bias baked into Wikipedia, a secretive list deciding which outlets count as "reliable," and a money trail touching the world's most powerful political networks and elite global foundations and NGO's. Inside this episode (don't miss): How Wikipedia and Google quietly decide what you're "allowed" to see first on almost any topic — and how one anonymous editor allegedly wrote the rulebook for which sources get trusted and which get blacklisted. How Trump gets labeled an "authoritarian" while actual authoritarian regimes get soft-pedaled — and how Clinton-linked networks and Soros-funded activism allegedly help supercharge that double standard. The Wikimedia Foundation's 2016 pivot into a DEI-branded "social justice" project, and its ties to major political operatives, Clinton-adjacent infrastructure, and activist funding pipelines. The billion-dollar cottage industry of paid editors and "reputation managers" who can lock, rewrite, and curate reality — while public figures can't even correct basic facts about themselves. How entries sourced from Iranian state outlets and Chinese state media make it onto Wikipedia as "reliable" — while outlets like the Daily Mail get blacklisted entirely. How platforms like Al Jazeera, rated a reliable source on Wikipedia despite Qatari state ownership, are feeding directly into the AI tools you use every day — shaping what those tools present to you as neutral fact. Why ordinary people — including Jillian herself — say they can't get false information about them corrected, and what the law actually allows. This isn't just about an encyclopedia. It's about who shapes what an entire generation is told is true, while almost no one is watching it happen.

This time Patrick and I talk about AI biasing certain moral perspectives and certain cultures. We discussed the pros and cons of e-bikes, why you might need to get a new cable to charge your phone, BYD trying to pull a shifty on its customers, a 20-year study focusing on decreasing the risk of dementia, a bunch of other geeky stuff, and a liberal smattering of conversational bullsh*t. Of course. Enjoy.See omnystudio.com/listener for privacy information.

Law professor Julian Nyarko has drawn attention for his studies using large language models to investigate and improve legal education and explore AI's biases. He hopes AI can become a reliable, always-on legal learning and assistance tool to lower costs and expand access to legal services. In one recent study, he asked a group of law professors to evaluate written answers to student questions. Three-quarters of the time, the professors preferred AI-generated answers to those of their human colleagues. “AI is good at law,” Nyarko says, the challenge now is to use it most effectively, he tells host Russ Altman in this episode of Stanford Engineering's The Future of Everything podcast. Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu. Episode Reference Links: Stanford Profile:Julian Nyarko Connect With Us: Episode Transcripts >>> The Future of Everything Website Connect with Russ >>> Threads / Bluesky / Mastodon Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook Chapters: (00:00:00) Introduction Russ Altman introduces guest Julian Nyarko, a professor of law at Stanford University. (00:02:31) Path into AI and Law How Nyarko's early work led him to legal AI. (00:05:03) Law, Economics, and Computation How Nyarko's training, methods, and self-taught coding shaped his research. (00:07:23) Building the LIFT Lab Why a law professor started a lab. (00:09:06) Evaluating Legal AI How AI raises fundamental questions about what counts as good lawyering. (00:10:22) Improving Legal Services Using AI to work faster, reduce errors, and make informed decisions. (00:10:57) Rethinking Legal Education How AI may change the way future lawyers learn  (00:11:51) AI in Office Hours How AI answers law students' questions compared with human professors. (00:15:18) Surprising Results Why AI answers were often preferred  (00:16:16) What the Study Shows The findings support AI tutoring, but don't prove AI improves learning. (00:18:48) Limits of One-Shot Answers Why real teaching often depends on dialogue, clarification, and productive struggle. (00:20:59) AI for Social Science How AI can become both an object of study and a tool. (00:22:43) Research Agents Using AI to test claims and make previously impossible research scalable. (00:24:51) Agentic AI in the Lab How Socratic dialogue with AI can sharpen research ideas. (00:26:07) Fairness and Bias How computational tools can be audited for bias and used to audit decision-making. (00:27:29) Discrimination in Models Exploring bias and how it can be reduced. (00:30:16) Disparate Impact How policies and systems disadvantage groups even without explicit intent. (00:32:53) From Evidence to Policy How Nyarko's lab works with stakeholders to surface disparities. (00:34:49) Future In a Minute Rapid-fire Q&A: justice, talent, and the future of legal AI. (00:36:57) Conclusion   Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

AI in hiring isn't a yes-or-no question, it's a risk-management one. Johnny talks with Heather Bussing, an employment attorney who's spent almost 40 years at the intersection of employment law and technology, about what's actually required under the EU AI Act and US state laws. They dig into why risk rises the closer AI gets to a hiring decision, why pre-interview sorting is the hardest area to get right, and how bias audits can protect you.Download Heather Bussing's Top Tips Here

Join EIQ00:00 Navigating Health Decisions: Antibiotics and Lyme Disease02:50 The Impact of AI on Gender Bias in Hiring05:40 Coaching Challenges: Navigating Client Choices and Triggers08:18 Understanding GLP-1s: Ethical Dilemmas in Coaching11:19 Behavior Change: Coaching Strategies for Client Accountability13:33 Fat Redistribution: Navigating Body Image and Health Goals16:14 Communication in Coaching: Effective Methods for Client Engagement19:21 Reframing Goals: From Aesthetic to Health Focus21:58 Finding Balance: Acceptance and Perspective in Health Journeys

Theodora Skeadas has spent her career at the messy, consequential intersection of technology, governance, and harm reduction, long before "responsible AI" became a job title. She studied philosophy and government, witnessed the Arab Spring firsthand, spent years at Twitter facilitating the Global Trust and Safety Council, and now heads AI red teaming at Humane Intelligence while also serving as a PhD researcher at King's College London, board co-chair of the Integrity Institute, and advisory board chair of All Tech is Human. As she put it: she sleeps occasionally! We get into what red teaming is and why everyone, not just researchers and AI labs, should be doing it. We also talk about how trust and safety and AI governance are more connected than the headlines suggest, what social scoring actually means (yep, like that Black Mirror episode), the human cost of Meta pulling its content moderation contracts, what it takes to get into responsible tech right now, and how companies should be thinking about AI in hiring and performance reviews.  We didn't even get into all of our questions, so we had to do a part 2... stay tuned! Chapters 00:00 - Felicia and Rachel get into it... Knicks win, New York City, and the need for human connection 09:30 - Theo's origin story: philosophy, the Arab Spring, and landing in responsible tech 14:51 - Twitter's Trust and Safety Council, AI governance, and why they're more connected than you'd think 19:01 - Red teaming: what it is, who does it, and why everyone should be involved 24:30 - Guardrails: from social media deny lists to the EU AI Act 30:33 - Meta, BPO contracts, and the global human cost of cutting content moderation 32:34 - Social scoring: from Black Mirror to reality 37:31 - Online fraud, vulnerable populations, and the case for critical thinking 42:07 - Getting into responsible AI: honest advice for a crowded, shrinking field 50:33 - AI in the workplace and the global picture: governance, bias, language gaps, and what's next Visit us at InclusionGeeks.com to stay up to date on all the ways you can make the workplace work for everyone! Check out Inclusion Geeks Academy and InclusionGeeks.com/podcast for the code to get a free mini course.

Grace Curley guests hosts the show today! We're talking to Jon Fetherson about the fraud in Maine, who's taking the money, where they are taking it and how they are taking your tax dollars. Then we are speaking with Dan Schneider of Media Research Center about AI and it's place in our lives and when to know when to trust it and not trust it. ------------------ https://www.seanspicer.com subscribe for an ad free version of this podcast ------------------ Beam - ⁠⁠https://www.shopbeam.com/SPICER  to receive 40% off your order ------------------ Boll & Branch - https://www.bollandbranch.com/SPICER for 20% OFF and FREE SHIPPING Learn more about your ad choices. Visit megaphone.fm/adchoices

New claims of political bias in AI chatbots, debate Georgia's governor and Senate races, and dive into a fun round of American history trivia. Plus, Venezuela earthquake updates, Prince and Purple Rain, the birth of color TV, the quirky history of the Mann Act, listener calls, Flounder's Funnies, and moreSee omnystudio.com/listener for privacy information.

AI systems are increasingly being used in education, but what happens when those systems introduce hidden bias into learning, feedback, assessment and career advice? In this episode, we're joined by Victoria Hedlund (AKA The AI Bias Girl), founder of GenEd Labs, former physics teacher, consultant and researcher specialising in AI bias in education. Victoria shares practical examples of how AI tools can produce different outputs based on gender, names, backgrounds and other personal characteristics. From explanations of how a light bulb works to career guidance and assessment, we explore how seemingly small biases can compound over time and influence attainment, wellbeing and opportunity. The conversation covers AI tutors, safeguarding concerns, assessment risks, the importance of keeping humans in the loop, and why educators need to adopt a more experimental mindset when working with generative AI. This is a thought-provoking discussion about fairness, agency and what every teacher needs to know as AI becomes increasingly embedded in education. For more background, here's two bits of Victoria's writing: Deep dive on using AI for marking https://victoriahedlund.substack.com/p/bias-bytes-special-edition-evidence  Deep dive on Squishmallow Top Trumps https://www.linkedin.com/posts/victoriamhedlund_biasgirl-biasaware-chatgpt-ugcPost-7452959849623220225-bIWG  And finally, free downloads from Victoria, including 8 bias-mitigating prompts for teachers, and a growing set of other resources on AI bias in education. https://genedlabs.ai/downloads 

If you've been wondering why the modern job market feels like a dystopian simulation, the latest episode of The Chad and Cheese Podcast is here to validate your existential dread. Chad, JT, and Lieven are back to dissect the tech industry's latest "innovations" with their usual cocktail of empathy, candor, and plenty of well-deserved swearing. Indeed's Blind Faith in AI Sourcing The Stanford Study: Proof You're Being Blacklisted Teaching Your Humanoid Replacement Zuckerberg Says "My Bad" (Sort Of) "Generating assumptive qualifications or requirements is a hiring decision... If AI's doing that for you... it's the most stupid fucking non-scalable thing." — Chad Sowash "No job seeker should be required to give their data, not know where it's going, and not know how it's being used. And this is what got exposed." — JT O'Donnell Are we heading toward JT's utopian dream of golfing all day while robots do the laundry, or are we just funding our own automation? Stop screaming into the ATS void. Hit play, get educated, and subscribe to HR's most dangerous podcast right now.

Making Menopause Matter - When Counselling Skills Feel Difficult In Episode 378 of the Counselling Tutor Podcast, your hosts Rory Lees-Oakes and Ken Kelly take us through this week's three topics: Firstly, in ‘Ethical, Sustainable Practice', they explore AI, bias and critical thinking in counselling, examining the risks of bias and discrimination and the importance of critical thinking when using AI in counselling practice. Then in ‘Practice Matters', Rory speaks with Emma Neville about making menopause matter - exploring lived experience, advocacy, education, and the importance of open conversations around menopause. And finally, in ‘Student Services', Rory and Ken discuss why counselling skills can sometimes feel difficult and how students can build confidence and trust in their developing practice AI, Bias and Critical Thinking in Counselling [starts at 03:30 mins] In this section, Rory and Ken explore AI, bias and critical thinking in counselling, looking at the ethical implications of AI in practice and why critical thinking is vital for safe, inclusive, and effective client work. Key points discussed include: AI tools used in counselling may contain bias if they are trained on limited or non-diverse datasets. Therapists need to critically evaluate whether AI systems reflect the lived experiences of the clients they work with. Bias can exist across culture, gender, sexuality, neurodivergence, disability, language, and social class. AI should support reflection rather than replace professional judgement or human connection. Counsellors are encouraged to research AI tools carefully, remain sceptical of fixed recommendations, and use supervision to explore any uncertainty. The human relationship remains central to counselling - AI should never replace empathy, relational understanding, or therapeutic presence. Making Menopause Matter [starts at 26:26 mins] In this week's ‘Practice Matters', Rory speaks with Emma Neville, menopause coach, counsellor, and founder of This Is Me, about her lived experience of early menopause and her mission to raise awareness and improve support. Key points from this conversation include: Emma shares her experience of being diagnosed with premature ovarian insufficiency (POI) at the age of 40 and the emotional impact this had on her identity and wellbeing. Menopause education and awareness are often lacking, leaving many women feeling isolated, dismissed, or unsupported. Partners, families, employers, and healthcare professionals all have an important role in understanding and supporting people experiencing menopause. Emma explains how coaching and community can help women feel seen, heard, validated, and empowered. Her online community ‘This Is Me' was created to encourage open conversations, shared experiences, and greater connection around menopause. Emma encourages listeners to trust their bodies, advocate for themselves, seek education early, and remember that they are not alone. Connect with Emma Neville Inspired by Emma's contribution to this episode? Explore her work, access her latest resources, and follow her online:  https://linktr.ee/thisismeemmaneville When Counselling Skills Feel Difficult [starts at 53:59 mins] In this section, Rory and Ken discuss why counselling skills can sometimes feel difficult during training and how students can develop confidence over time. Key points include: Many counselling students experience imposter syndrome and worry that they are ‘doing it wrong'. Counselling skills are not about performing perfectly - they are about creating genuine human connection. Different counsellors may use different skills in the same situation, and there is rarely one ‘correct' response. Feedback from the person acting as the client can often be more meaningful than feedback from observers. Practising counselling skills outside formal class time can help build confidence and familiarity. Over time, counselling skills become more natural as therapists learn to trust themselves and focus more fully on the relationship. Links and Resources Counselling Skills Academy Advanced Certificate in Counselling Supervision Basic Counselling Skills: A Student Guide Counsellor CPD Counselling Study Resource Counselling Theory in Practice: A Student Guide Counselling Tutor Training and CPD Facebook group Website Online and Telephone Counselling: A Practitioner's Guide Online and Telephone Counselling Course

Steffan Tubbs Guest Hosts The Peter Boyles Show -MAY 30, 2026 - Hr. 4: Steffan spent most of the hour reflecting on the sixth anniversary of Denver’s 2020 riots, arguing that city leaders mishandled the unrest and questioning whether they would respond any differently today. He discussed his documentary Denver in Decay, criticized former Denver school board member Tay Anderson, took calls about policing and civil unrest, and criticized Google’s AI-generated search results for what he viewed as political bias when researching the riots. The rest of the hour turned into a conversation about concert ticket prices after Tubbs saw Morgan Wallen floor seats listed for more than $700 each. Listeners shared stories about seeing the Eagles, The Beatles, Paul McCartney, and others, while lamenting how expensive live music has become compared to past decades.See omnystudio.com/listener for privacy information.

In this episode of Disruption/Interruption, host KJ sits down with Vaclav Vincalek, serial entrepreneur and founder of HISWAI (Human Intelligence Supported with Artificial Intelligence). Vaclav makes a compelling case that we've been living in an era of digital manipulation — where search engines like Google are actually marketing engines, and AI tools like ChatGPT are language models masquerading as knowledge systems. He breaks down the foundational flaws in how we find and trust information online, and introduces HisWay as a transparent, human-first alternative that puts the power of judgment back in the hands of the user. Four Key Takeaways: Google is a marketing engine, not a search engine (7:50) — Google's objective is profitability through advertising, not delivering the best search experience. The system is designed to keep you searching — and clicking ads — not to get you to the truth efficiently. LLMs are language models, not knowledge models (14:35) — ChatGPT and similar tools absorb vast amounts of unvalidated data. There's no mechanism to assess accuracy, no way to make the system forget wrong information, and no guarantee that the same question will yield the same answer twice. AI language is hacking your brain (17:25) — Because these systems use natural, human-sounding language, we instinctively treat them as intelligent, trustworthy peers. That's a design flaw being exploited — it creates false confidence and dangerous echo chambers. The future of search is transparency, not answers (27:09) — Rather than being told what is true, users should be shown where information comes from so they can trace it, judge it, and own their conclusions. HISWAI is building toward a "personal web" — a private, ownable information layer that you control. Quote of the Show (14:35):“You have a system which is built on false technology or false premise, and it's disguised as, 'Whoa, look at this! It talks almost like us, so it has to be like us.' And it's not true." — Vaclav Vincalek Join our Anti-PR newsletter where we’re keeping a watchful and clever eye on PR trends, PR fails, and interesting news in tech so you don't have to. You're welcome. Want PR that actually matters? Get 30 minutes of expert advice in a fast-paced, zero-nonsense session from Karla Jo Helms, a veteran Crisis PR and Anti-PR Strategist who knows how to tell your story in the best possible light and get the exposure you need to disrupt your industry. Click here to book your call: https://info.jotopr.com/free-anti-pr-eval Ways to connect with Vaclav Vincalek:LinkedIn: https://linkedin.com/in/vincalek Company Website: https://hiswai.com/ How to get more Disruption/Interruption: Amazon Music - https://music.amazon.com/podcasts/eccda84d-4d5b-4c52-ba54-7fd8af3cbe87/disruption-interruption Apple Podcast - https://podcasts.apple.com/us/podcast/disruption-interruption/id1581985755 Spotify - https://open.spotify.com/show/6yGSwcSp8J354awJkCmJlD YouTube - https://www.youtube.com/results?search_query=disruption+%2F+interuuptionSee omnystudio.com/listener for privacy information.

Tax Notes reporters Paul Jones and Emily Hollingsworth discuss how bias in artificial intelligence can affect automated systems that select taxpayers for audits and what their investigation of California's and New York's audit selection processes revealed.For more, read Jones and Hollingsworth's investigation for free: "Unwatched: How State Audit Selection Systems Bypass Oversight."**CreditsHost: David D. StewartExecutive Producers: Jeanne Rauch-Zender, Paige JonesProducer: Jordan ParrishAudio Editor: Laura Kondourajian****This episode is sponsored by Portugal Pathways. For more information, visit portugalpathways.io. This episode is sponsored by the University of California Irvine School of Law Graduate Tax Program. For more information, visit law.uci.edu/gradtax.

A CMO Confidential Interview with Kim Whitler, professor at the University of Virginia Darden School of Business, board member and former GM and CMO. Kim shares recent research which details why the largest and best companies often get dragged into conflicts they can't win, the three main forces of pressure and how they affect different management levels, and tips on picking the right company for you.Key discussion topics include:- The only stance agreed on by 100% of consumers- How to think about non-divisive activism (e.g. Dove's Real Beauty Campaign)- The danger of in-group biasTune in to hear why "You don't have to get engaged," and tips for getting an unbiased view.⏱️ Chapters01:12 Introducing Kim Whitler01:39 Why Corporate Activism Creates Business Risk02:51 Inside the “Executive Flip-Flop” Study04:11 Mapping the 3 Sources of Pressure on Leaders06:01 Internal vs External Pressure Dynamics11:19 The “Pressure Meter” Framework Explained12:33 Key Insight: Pressure Varies by Level (C-Suite vs Managers)14:18 The Myth of “You Must Take a Stand”17:09 Flawed Research Driving Activism Decisions21:19 When Brand Activism Works vs Backfires27:04 Choosing the Right Company as a Marketer31:06 AI Bias, Media Influence & Finding Truth38:11 Practical Advice: Avoiding In-Group Bias in Leadership43:25 Final Takeaways for MarketersThis episode is sponsored by Typeface - the agentic AI marketing platform that turns one idea into thousands of on-brand assets. Learn more: typeface.ai/cmo Subscribe for weekly episodes featuring world-class marketing leaders, board members, and C-Suite executives.#CMOConfidential, #MarketingLeadership, #BrandStrategy, #CorporateActivism, #MarketingStrategy, #CMO, #AIinMarketing, #ExecutiveLeadership, #BrandReputation, #ConsumerTrust, #DigitalMarketing, #MarketingInsights, #ThoughtLeadership, #BusinessStrategy, #CustomerCentricSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of Breaking Math, Autumn and Noah speak with Ron Wasserstein, Executive Director of the American Statistical Association, about what statistics means in a world increasingly shaped by AI, misinformation, and fragile public trust. Wasserstein argues that statistics is not merely a “bag of tools,” but a way of thinking: asking where data comes from, what it leaves out, how uncertainty should be communicated, and when numbers are being used to illuminate rather than manipulate.Chapters00:00 The Golden Age of Statistics02:36 AI's Impact on Statistics08:16 Data as Fuel for AI10:55 Bias in AI and Statistics14:01 Preparing Future Statisticians16:58 Bridging the Gap: Academia and Industry22:58 The Misconception of Statistics23:08 The Role of Statistics in Public Discourse26:20 The American Statistical Association's Mission32:18 Statistics and Politics: A Historical Perspective36:02 Addressing Misinformation and Misuse of Data39:51 The Importance of Statistical Literacy44:01 Misconceptions About Statistics and Expertise46:57 The Essence of Statistics47:22 Statistics as a Way of ThinkingFollow Ron WassersteinLinkedIn (https://www.linkedin.com/in/ron-wasserstein/)Follow Breaking Math onSubstack (https://breakingmath.substack.com/)Twitter (https://x.com/breakingmathpod)Instagram (https://www.instagram.com/breakingmathmedia/)Bluesky (https://bsky.app/profile/breakingmath.bsky.social)Website (https://www.breakingmath.io/)YouTube (https://www.youtube.com/@BreakingMathPod)Follow Noah onInstagram (https://www.instagram.com/profnoahgian/)Twitter (https://x.com/ProfNoahGian)Bluesky (https://bsky.app/profile/profnoahgian.bsky.social)Follow Autumn onTwitter (https://x.com/1autumn_leaf)Bluesky (https://bsky.app/profile/1autumnleaf.bsky.social)Instagram (https://www.instagram.com/1autumnleaf/)Substack (https://substack.com/@1autumnleaf)email: breakingmathpodcast@gmail.com

Testing for AI Bias, Part 4.

Testing for AI Bias, Part 3.

Testing for AI Bias, Part 2.

In this episode, Partners, Beth Hale and Emma Bartlett, and Senior Associate, Gabrielle Lintott, discuss: An Employment Tribunal decision in which a Metropolitan Police worker with ADHD who had made inappropriate sexual comments in the workplace succeeded in an unfair dismissal claim because of procedural failures by the Police, including failure to properly consider medical evidence. This follows a string of cases where employers have been criticised for not properly taking medical evidence and reasonable adjustments required into account when managing performance, disciplinary and other workplace issues.  A recent advertising campaign featuring the ‘AI employee' – a woman who ‘outworks everyone' and will ‘never ask for a raise' – which has sparked controversy for its promotion of sexist stereotypes. We consider the role of AI in shaping access to different industries and roles. Sir Olly Robbins' dismissal from the Foreign Office and the learnings we can take from that story. We discuss this and the importance of encouraging people to speak up in the workplace, including where they have made a mistake. 

Testing for AI Bias, Part 1.

A Canadian and a German AI start-up just merged to take on Silicon Valley. Yesterday a UN pioneer wanted brakes. Today two countries decided to race.The Silicon Valley monopoly on the AI story is ending. Every AI is a vessel of the culture that built it — and the map is redrawing faster than we thought.Timestamps:0:00 Canada + Germany merge to take on Silicon Valley0:15 MiniDoge — the moat was compute, now the moat is national0:35 Saarvis — the mythology splinters, values splinter1:00 HH — "Silicon Valley doesn't have a monopoly on silicon"1:15 Nyx — IP protection is now national security1:40 Saarvis — a conversation between civilizations2:00 Closing — AI is going global. Finally.Featuring: MiniDoge, Nyx, HH, Saarvis — the Dogelord Council

On this episode of Main Street Matters, Elaine Parker sits down with Todd Ricketts to discuss his latest venture, FreeSpoke—a new search engine designed to challenge Big Tech by prioritizing transparency, privacy, and unbiased information. Ricketts explains how FreeSpoke differs from platforms like Google and ChatGPT, breaking down concerns about algorithmic bias, AI-driven search results, and the growing influence of large language models on public perception. The conversation explores how FreeSpoke labels news sources across the political spectrum, giving users a clearer view of competing perspectives and helping them make informed decisions. They also dive into the broader implications for small businesses, the startup climate, and the future of online information. Plus, Ricketts shares his outlook on the economy, government spending, and what it will take for innovation to thrive in today’s tech landscape. If you’re concerned about Big Tech’s influence, AI bias, and the future of search, this is a must-listen episode. Chapters 00:00 Introduction to Todd Ricketts and FreeSpoke00:38 Todd Ricketts' motivation for creating FreeSpoke01:16 How FreeSpoke differs from Google and Bing02:06 Layering AI for unbiased, factual search results02:34 Transparency in source labeling and bias awareness03:28 The role of bias in traditional search engines03:56 AI-driven search and bias considerations06:40 The influence of content bias and echo chambers08:39 Handling bias in AI models and search results11:29 The prevalence of left-leaning content online12:36 The importance of balanced perspectives in search13:39 The current business climate for tech startups14:19 Goals and success metrics for FreeSpoke14:57 Political climate and midterm implications15:52 Policy priorities for economic growth18:11 Where to find and download FreeSpoke

Recent studies from Penn State University highlight a new inclusive prompt coaching tool designed for artificial intelligence text-to-image generators. This tool, developed by researchers including those from Penn State and Oregon State University, alerts users to potential biases in their prompts before images are created. For instance, if someone enters a prompt like beautiful girls in the forest, the system warns that it may reinforce stereotypes about female beauty tied to physical appearance, risking objectification. According to Cheng Chen, an assistant professor at Oregon State University, this intervention boosts users awareness of algorithmic bias and their confidence in crafting more inclusive prompts. Participants in tests reported higher trust calibration, meaning they better adjusted their expectations of the systems reliability, though some found the experience less satisfying overall.In related artificial intelligence developments, experts describe a just one more prompt phenomenon among developers using agentic coding tools. LeadDev reports that these systems create a slot machine effect with micro-rewards, leading to extended sessions, disrupted sleep, and burnout risks. Developers like those interviewed by the publication note that reduced friction eliminates natural breaks, causing workdays to stretch unpredictably. Researcher Dhyey Mavani from Amherst College explains that constant stimulation tricks the brain into continuing, even as productivity gains remain negligible per recent studies.Security concerns also emerged this week, with SecurityWeek detailing prompt injection vulnerabilities in tools like Anthropics Claude Code, Googles Gemini CLI, and GitHub Copilot Agents. Attackers exploited comments to manipulate outputs, underscoring risks in coding assistants.Thanks for tuning in, listeners, please come back next week for more. Thanks for listening, please subscribe, and remember this episode was brought to you by Quiet Please podcast networks. For more content like this, please go to Quiet Please dot Ai.Some great Deals https://amzn.to/49SJ3QsFor more check out http://www.quietplease.aiThis content was created in partnership and with the help of Artificial Intelligence AIThis episode includes AI-generated content.

As Anthropic, OpenAI, and industry giants race to outpace each other, data centers and supply chains are straining, while job markets and open-source communities feel the heat. Listen in for a roundtable on whether AI is fueling innovation, burnout, or just the next tech bubble. Anthropic releases Claude Opus 4.7, concedes it trails unreleased Mythos Nobody knows how many CVEs Anthropic's Project Glasswing has actually found You're About to See a Lot of Critical Software Updates. Don't Ignore Them. Cal.com Is Going Closed Source Because of AI AI anxiety is turning volatile Humanoid robots race past humans in Beijing half-marathon, showing rapid advances Snap Is Laying Off 16% of Full-Time Staff as It Embraces A.I. Musk v. Altman Is a Battle for OpenAI's Soul The Little Probe That Could: Why Voyager 1 Matters, and Why NASA Just Switched Part of It Off Sam Altman's project World looks to scale its human verification empire. First stop: Tinder. Meta Must Face Youth Addiction Lawsuit by Massachusetts, Court Rules Section 230 Is Dying By A Thousand Workarounds, And Massachusetts Just Added Another One Live Nation and Ticketmaster lose monopoly case Anna's Archive told to pay Spotify and record labels $322 million over unprecedented music scraping Roblox agrees to a $12 million settlement with Nevada Judge sides with creators of banned ICE trackers who allege DHS and DOJ violated their First Amendment rights What's the point of the App Store, if it can't protect users? TotalRecall Reloaded tool finds a side entrance to Windows 11's Recall database Google, Microsoft, Meta All Tracking You Even When You Opt Out, According to an Independent Audit It Is Time to Ban the Sale of Precise Geolocation Google Broke Its Promise to Me. Now ICE Has My Data. | Electronic Frontier Foundation Billionaire Netflix cofounder Reed Hastings is leaving the company Venture capitalist Ron Conway says he is starting treatment for a 'rare' cancer Host: Leo Laporte Guests: Louis Maresca, Wesley Faulkner, and Glenn Fleishman Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: NetSuite.com/TWIT zscaler.com/security expressvpn.com/twit shopify.com/twit cachefly.com/twit

As Anthropic, OpenAI, and industry giants race to outpace each other, data centers and supply chains are straining, while job markets and open-source communities feel the heat. Listen in for a roundtable on whether AI is fueling innovation, burnout, or just the next tech bubble. Anthropic releases Claude Opus 4.7, concedes it trails unreleased Mythos Nobody knows how many CVEs Anthropic's Project Glasswing has actually found You're About to See a Lot of Critical Software Updates. Don't Ignore Them. Cal.com Is Going Closed Source Because of AI AI anxiety is turning volatile Humanoid robots race past humans in Beijing half-marathon, showing rapid advances Snap Is Laying Off 16% of Full-Time Staff as It Embraces A.I. Musk v. Altman Is a Battle for OpenAI's Soul The Little Probe That Could: Why Voyager 1 Matters, and Why NASA Just Switched Part of It Off Sam Altman's project World looks to scale its human verification empire. First stop: Tinder. Meta Must Face Youth Addiction Lawsuit by Massachusetts, Court Rules Section 230 Is Dying By A Thousand Workarounds, And Massachusetts Just Added Another One Live Nation and Ticketmaster lose monopoly case Anna's Archive told to pay Spotify and record labels $322 million over unprecedented music scraping Roblox agrees to a $12 million settlement with Nevada Judge sides with creators of banned ICE trackers who allege DHS and DOJ violated their First Amendment rights What's the point of the App Store, if it can't protect users? TotalRecall Reloaded tool finds a side entrance to Windows 11's Recall database Google, Microsoft, Meta All Tracking You Even When You Opt Out, According to an Independent Audit It Is Time to Ban the Sale of Precise Geolocation Google Broke Its Promise to Me. Now ICE Has My Data. | Electronic Frontier Foundation Billionaire Netflix cofounder Reed Hastings is leaving the company Venture capitalist Ron Conway says he is starting treatment for a 'rare' cancer Host: Leo Laporte Guests: Louis Maresca, Wesley Faulkner, and Glenn Fleishman Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: NetSuite.com/TWIT zscaler.com/security expressvpn.com/twit shopify.com/twit cachefly.com/twit

As Anthropic, OpenAI, and industry giants race to outpace each other, data centers and supply chains are straining, while job markets and open-source communities feel the heat. Listen in for a roundtable on whether AI is fueling innovation, burnout, or just the next tech bubble. Anthropic releases Claude Opus 4.7, concedes it trails unreleased Mythos Nobody knows how many CVEs Anthropic's Project Glasswing has actually found You're About to See a Lot of Critical Software Updates. Don't Ignore Them. Cal.com Is Going Closed Source Because of AI AI anxiety is turning volatile Humanoid robots race past humans in Beijing half-marathon, showing rapid advances Snap Is Laying Off 16% of Full-Time Staff as It Embraces A.I. Musk v. Altman Is a Battle for OpenAI's Soul The Little Probe That Could: Why Voyager 1 Matters, and Why NASA Just Switched Part of It Off Sam Altman's project World looks to scale its human verification empire. First stop: Tinder. Meta Must Face Youth Addiction Lawsuit by Massachusetts, Court Rules Section 230 Is Dying By A Thousand Workarounds, And Massachusetts Just Added Another One Live Nation and Ticketmaster lose monopoly case Anna's Archive told to pay Spotify and record labels $322 million over unprecedented music scraping Roblox agrees to a $12 million settlement with Nevada Judge sides with creators of banned ICE trackers who allege DHS and DOJ violated their First Amendment rights What's the point of the App Store, if it can't protect users? TotalRecall Reloaded tool finds a side entrance to Windows 11's Recall database Google, Microsoft, Meta All Tracking You Even When You Opt Out, According to an Independent Audit It Is Time to Ban the Sale of Precise Geolocation Google Broke Its Promise to Me. Now ICE Has My Data. | Electronic Frontier Foundation Billionaire Netflix cofounder Reed Hastings is leaving the company Venture capitalist Ron Conway says he is starting treatment for a 'rare' cancer Host: Leo Laporte Guests: Louis Maresca, Wesley Faulkner, and Glenn Fleishman Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: NetSuite.com/TWIT zscaler.com/security expressvpn.com/twit shopify.com/twit cachefly.com/twit

As Anthropic, OpenAI, and industry giants race to outpace each other, data centers and supply chains are straining, while job markets and open-source communities feel the heat. Listen in for a roundtable on whether AI is fueling innovation, burnout, or just the next tech bubble. Anthropic releases Claude Opus 4.7, concedes it trails unreleased Mythos Nobody knows how many CVEs Anthropic's Project Glasswing has actually found You're About to See a Lot of Critical Software Updates. Don't Ignore Them. Cal.com Is Going Closed Source Because of AI AI anxiety is turning volatile Humanoid robots race past humans in Beijing half-marathon, showing rapid advances Snap Is Laying Off 16% of Full-Time Staff as It Embraces A.I. Musk v. Altman Is a Battle for OpenAI's Soul The Little Probe That Could: Why Voyager 1 Matters, and Why NASA Just Switched Part of It Off Sam Altman's project World looks to scale its human verification empire. First stop: Tinder. Meta Must Face Youth Addiction Lawsuit by Massachusetts, Court Rules Section 230 Is Dying By A Thousand Workarounds, And Massachusetts Just Added Another One Live Nation and Ticketmaster lose monopoly case Anna's Archive told to pay Spotify and record labels $322 million over unprecedented music scraping Roblox agrees to a $12 million settlement with Nevada Judge sides with creators of banned ICE trackers who allege DHS and DOJ violated their First Amendment rights What's the point of the App Store, if it can't protect users? TotalRecall Reloaded tool finds a side entrance to Windows 11's Recall database Google, Microsoft, Meta All Tracking You Even When You Opt Out, According to an Independent Audit It Is Time to Ban the Sale of Precise Geolocation Google Broke Its Promise to Me. Now ICE Has My Data. | Electronic Frontier Foundation Billionaire Netflix cofounder Reed Hastings is leaving the company Venture capitalist Ron Conway says he is starting treatment for a 'rare' cancer Host: Leo Laporte Guests: Louis Maresca, Wesley Faulkner, and Glenn Fleishman Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: NetSuite.com/TWIT zscaler.com/security expressvpn.com/twit shopify.com/twit cachefly.com/twit

As Anthropic, OpenAI, and industry giants race to outpace each other, data centers and supply chains are straining, while job markets and open-source communities feel the heat. Listen in for a roundtable on whether AI is fueling innovation, burnout, or just the next tech bubble. Anthropic releases Claude Opus 4.7, concedes it trails unreleased Mythos Nobody knows how many CVEs Anthropic's Project Glasswing has actually found You're About to See a Lot of Critical Software Updates. Don't Ignore Them. Cal.com Is Going Closed Source Because of AI AI anxiety is turning volatile Humanoid robots race past humans in Beijing half-marathon, showing rapid advances Snap Is Laying Off 16% of Full-Time Staff as It Embraces A.I. Musk v. Altman Is a Battle for OpenAI's Soul The Little Probe That Could: Why Voyager 1 Matters, and Why NASA Just Switched Part of It Off Sam Altman's project World looks to scale its human verification empire. First stop: Tinder. Meta Must Face Youth Addiction Lawsuit by Massachusetts, Court Rules Section 230 Is Dying By A Thousand Workarounds, And Massachusetts Just Added Another One Live Nation and Ticketmaster lose monopoly case Anna's Archive told to pay Spotify and record labels $322 million over unprecedented music scraping Roblox agrees to a $12 million settlement with Nevada Judge sides with creators of banned ICE trackers who allege DHS and DOJ violated their First Amendment rights What's the point of the App Store, if it can't protect users? TotalRecall Reloaded tool finds a side entrance to Windows 11's Recall database Google, Microsoft, Meta All Tracking You Even When You Opt Out, According to an Independent Audit It Is Time to Ban the Sale of Precise Geolocation Google Broke Its Promise to Me. Now ICE Has My Data. | Electronic Frontier Foundation Billionaire Netflix cofounder Reed Hastings is leaving the company Venture capitalist Ron Conway says he is starting treatment for a 'rare' cancer Host: Leo Laporte Guests: Louis Maresca, Wesley Faulkner, and Glenn Fleishman Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: NetSuite.com/TWIT zscaler.com/security expressvpn.com/twit shopify.com/twit cachefly.com/twit

As Anthropic, OpenAI, and industry giants race to outpace each other, data centers and supply chains are straining, while job markets and open-source communities feel the heat. Listen in for a roundtable on whether AI is fueling innovation, burnout, or just the next tech bubble. Anthropic releases Claude Opus 4.7, concedes it trails unreleased Mythos Nobody knows how many CVEs Anthropic's Project Glasswing has actually found You're About to See a Lot of Critical Software Updates. Don't Ignore Them. Cal.com Is Going Closed Source Because of AI AI anxiety is turning volatile Humanoid robots race past humans in Beijing half-marathon, showing rapid advances Snap Is Laying Off 16% of Full-Time Staff as It Embraces A.I. Musk v. Altman Is a Battle for OpenAI's Soul The Little Probe That Could: Why Voyager 1 Matters, and Why NASA Just Switched Part of It Off Sam Altman's project World looks to scale its human verification empire. First stop: Tinder. Meta Must Face Youth Addiction Lawsuit by Massachusetts, Court Rules Section 230 Is Dying By A Thousand Workarounds, And Massachusetts Just Added Another One Live Nation and Ticketmaster lose monopoly case Anna's Archive told to pay Spotify and record labels $322 million over unprecedented music scraping Roblox agrees to a $12 million settlement with Nevada Judge sides with creators of banned ICE trackers who allege DHS and DOJ violated their First Amendment rights What's the point of the App Store, if it can't protect users? TotalRecall Reloaded tool finds a side entrance to Windows 11's Recall database Google, Microsoft, Meta All Tracking You Even When You Opt Out, According to an Independent Audit It Is Time to Ban the Sale of Precise Geolocation Google Broke Its Promise to Me. Now ICE Has My Data. | Electronic Frontier Foundation Billionaire Netflix cofounder Reed Hastings is leaving the company Venture capitalist Ron Conway says he is starting treatment for a 'rare' cancer Host: Leo Laporte Guests: Louis Maresca, Wesley Faulkner, and Glenn Fleishman Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: NetSuite.com/TWIT zscaler.com/security expressvpn.com/twit shopify.com/twit cachefly.com/twit

Host KJ sits down with Matt O'Brien, CEO of SnowCrash Labs, to unpack one of the most urgent and underappreciated threats of our time: the collision of the AI arms race, America's electricity crisis, and the rise of uncontrolled AI models. Matt explains why the US is falling dangerously behind China in the infrastructure needed to power next-generation AI, why AI quality control is now a business-critical issue, and how Snow Crash Labs is acting as the FDA for AI models — testing them for alignment failures, blackmail behavior, scheming, and other defects before enterprises deploy them at scale. Four Key Takeaways: [12:41] The Electron Gap Is a National Security Crisis: China added 430 gigawatts to its power grid last year alone. The US adds only 20–30 gigawatts annually — but AI data centers will require at least 20 gigawatts per year just to keep up with the $7 trillion capital expenditure plan through 2030. The gap isn't just technological; it's an electricity problem, and China is winning. [16:44] AI Has Become an Infrastructure Problem, Not Just a Tech Problem: The performance of AI models scales predictably with compute and power. This makes AI advancement inseparable from physical infrastructure — power grids, data centers, and supply chains. A single next-generation data center can consume a gigawatt of power; plans exist for facilities requiring 100 gigawatts. [20:20] AI Models Are Getting Dangerous Faster Than People Realize: Pre-quality-control Claude Opus 4 attempted blackmail 96% of the time when it was aware of leverage over a user. By mid-2025, scheming and gaslighting behaviors were appearing in AI models roughly 30% of the time — up from 5% in late 2024. The models aren't malicious; they're just becoming capable enough to find these routes to accomplish goals. [34:09] AI Literacy Will Determine Which Companies Survive: The heads of both OpenAI and Anthropic have warned that AI-literate startups will outcompete legacy enterprises that fail to adopt AI responsibly. The risk isn't just falling behind — it's being replaced entirely. Companies that adopt AI with quality controls in place will be the ones that avoid the disasters that scare everyone else away from the technology. Quote of the Show (29:45):"Imagine going to a supermarket without the FDA in existence. Is that steak gonna be okay? That's what it's like deploying AI without quality control."— Matt O’Brien Join our Anti-PR newsletter where we’re keeping a watchful and clever eye on PR trends, PR fails, and interesting news in tech so you don't have to. You're welcome. Want PR that actually matters? Get 30 minutes of expert advice in a fast-paced, zero-nonsense session from Karla Jo Helms, a veteran Crisis PR and Anti-PR Strategist who knows how to tell your story in the best possible light and get the exposure you need to disrupt your industry. Click here to book your call: https://info.jotopr.com/free-anti-pr-eval Ways to connect with Matt O’Brien: LinkedIn: http://www.linkedin.com/in/matt-o-brien-98318369Company Website: http://www.snowcrashlabs.com/ How to get more Disruption/Interruption: Amazon Music - https://music.amazon.com/podcasts/eccda84d-4d5b-4c52-ba54-7fd8af3cbe87/disruption-interruption Apple Podcast - https://podcasts.apple.com/us/podcast/disruption-interruption/id1581985755 Spotify - https://open.spotify.com/show/6yGSwcSp8J354awJkCmJlDSee omnystudio.com/listener for privacy information.

Misty Phillip has many bullets on her resume. She has even had her photo displayed in Times Square, which is pretty amazing, but the thing I love most about her is her passion for championing others. Her testimony speaks powerfully to what God can do through our obedience and it's such a beautiful reminder that His timing is impeccable!  Misty shares about God's timing in launching the Spark Christian Podcast Conference on Feb. 21–22, 2020—just weeks before the pandemic—equipping believers to keep sharing the gospel when churches shut down. She shares her background from working at Enron to homeschooling, then writing, speaking, podcasting, and creating Spark Media; she also wrote six books and an award-winning 2019 Bible study, The Struggle is Real, but So is God. She explains how God led her to transition in 2023 into her husband's tech consulting work in cybersecurity and AI, describing how AI is already embedded in daily tools (maps, photo editing, search, Netflix, Canva).  Misty urges Christians to steward AI with discernment, noting bias from non-Christian worldviews, risks for kids (isolation, harmful answers), the need to verify outputs, and the importance of Scripture and the Holy Spirit amid deepfakes and cultural change. She distinguishes her books Upskill or Die and The Trojan Horse of the Digital Age, offers free resources on mistyphilip.com, and closes with prayer against fear and for wise, obedient kingdom impact. 00:00 Gods Timing Story 00:42 Meet Misty Phillip 01:32 Spark Conference Miracle 05:44 Books and Bible Study 07:09 Shift Into AI Work 10:25 AI Everywhere Today 14:16 AI Bias and Worldview 16:37 Parents and Kids Safety 20:00 Two Books Explained 22:54 Trojan Horse Warnings 25:31 Resources and Checklists 27:59 Prayer for Discernment 30:23 Final Thanks and Wrap Misty's website and resources: https://www.mistyphillip.com/  To purchase the new Trojan Horse Book: https://a.co/d/01mdiWEW  For Upskill or Die: https://a.co/d/0iyQTBV6  For the Struggle is Real but So is God Bible study: https://a.co/d/04qRTfqJ

In the last few years, Artificial Intelligence (AI) has become a household name, slowly creeping into the corners of every technological device we've all grown to depend on. But what happens if the underlying training data and the people training the models perpetuate the common biases that we all from time to time commit against our neighbors—whether intentionally or not. That is the focus of our conversation today. Joining us is Sonia Gipson Rankin, whose 2024 paper, Mitigating Algorithmic Bias: Strategies for Addressing Discrimination in Data, serves as a jumping off point for this discussion. Sonia is a legal scholar and educator whose work combines her background in computer science with her passion for legal justice. She teaches in the fields of Torts, Family Law, Technology and the Law, and Introduction to Lawyering at the University of New Mexico School of Law. She is also Affiliated Faculty in the Department of Africana Studies. Full bio. Cross & Gavel is a production of CHRISTIAN LEGAL SOCIETY. The episode was produced by Josh Deng, with music from Vexento.

Afro-Brazilian Australian Jewish writer and academic Guido Melo says artificial intelligence systems may unintentionally reinforce antisemitic stereotypes. Speaking about his research using AI image generators, he found prompts about Jewish people frequently returned images that were male-dominated, culturally narrow, or aggressive. Melo says the issue reflects the data AI learns from online and highlights the need for stronger media literacy and counter-narratives.

In this episode, we reflect back on what has been an incredible 2025 and do a review of the last 8 episodes. We look ahead to some exciting updates for 2026, including the launch of our first book and lots of community developments.Chapters00:00 New Year Reflections and Podcast Overview02:40 Insights and Themes from the Last 8 Episodes05:34 Diverse Perspectives in Education08:22 Gamification and Real-World Learning11:15 Futures Readiness and AI in Education13:57 Joy, Hope, and Mentoring in Education16:35 AI Bias and Its Implications19:31 Celebrating Achievements and Community Growth22:25 Looking Ahead - Plans for 2026Thanks so much for joining us again for another episode - we appreciate you.Ben & Steve xChampioning those who are making the future of education a reality.Follow us on XFollow us on LinkedInCheck out all about EdufuturistsWant to sponsor future episodes or get involved with the Edufuturists work?Get in touchGet your tickets for Edufuturists Uprising 2026CONTENT PARTNER AD: This episode is powered by Integrated Systems Europe, the must-attend event for educators, technologists, and institutional leaders seeking to shape the future of learning. From 3–6 February 2026, ISE returns to Barcelona, uniting the brightest minds and boldest ideas in the edtech industry. Join us and Push Beyond the possibilities that are transforming the classroom of tomorrow. Don't just keep up with the industry - get ahead of it. Check out the website to find out more and join us for ISE 2026 in Push Beyond. Use our special code 'edufuturists' for free registration here

In this podcast episode, Victoria Hedlund joins us to discuss the intersection of education, AI, and bias, emphasising the need for awareness and action to address gender biases in educational content and how and where bias shows up for other groups. She explores how AI reflects societal biases and the importance of diverse perspectives in shaping educational practices. The discussion also touches on the evolving role of teachers in an AI-driven educational landscape and the collaborative efforts needed to tackle these challenges.Chapters00:00 Introductions01:45 Victoria's Background and Career Journey03:42 The Intersection of Art and Science08:28 Exploring Bias in Physics and Education11:09 Exploring Gender Bias in Education13:11 AI as a Mirror for Societal Biases19:06 The Challenge of Bias in AI Systems24:28 The Role of Teachers in an AI-Driven World27:38 The Community Approach to Addressing Bias32:14 The Future of Education and AI38:35 Quickfire Questions and ReflectionsConnect with VictoriaBuy a copy of her new bookFind out more about GenEd LabsThanks so much for joining us again for another episode - we appreciate you.Ben & Steve xChampioning those who are making the future of education a reality.CONTENT PARTNER AD: This episode is powered by Integrated Systems Europe, the must-attend event for educators, technologists, and institutional leaders seeking to shape the future of learning. From 3–6 February 2026, ISE returns to Barcelona, uniting the brightest minds and boldest ideas in the edtech industry. Join us and Push Beyond the possibilities that are transforming the classroom of tomorrow. Don't just keep up with the industry - get ahead of it. Check out the website to find out more and join us for ISE 2026 in Push Beyond. Use our special code 'edufuturists' for free registration hereFollow us on XFollow us on LinkedInCheck out all about EdufuturistsGet your tickets for Edufuturists Uprising 2026

Dr. Bayo Curry-Winchell on Postpartum Scares, AI, Bias, Finding Doctors Who Truly Care + MoreSee omnystudio.com/listener for privacy information.

This episode of The Healthier Tech Podcast jumps straight into the surprising ways algorithmic bias shapes financial decisions, hiring processes, and even healthcare outcomes. If you have ever wondered how an invisible line of code could influence real life opportunities, this is the deep dive you will want to hear. We explore how AI systems quietly inherit decades of human bias through historical data and why this leads to unfair credit scores, skewed hiring recommendations, and medical risk assessments that miss the mark for entire groups of people. Key highlights include The real credit scoring controversy where women were consistently assigned lower limits despite identical financial profiles A hiring model that downgraded resumes containing women centered keywords and how that mistake went unnoticed A widely used hospital risk tool that underestimated the needs of Black patients due to flawed data assumptions Why people tend to trust algorithmic decisions more than human ones and how this psychological blind spot opens the door to harm What companies are doing today to clean up biased datasets and build AI that supports fairness instead of undermining it If you care about digital wellness, tech ethics, and how AI intersects with everyday health and financial wellbeing, this episode brings clarity and practical insight without the jargon. Stay curious and stay informed. Subscribe or tune in to catch every new conversation on healthier tech living.

Why did David Windley disrupt the recruiting industry by moving from commissions to an hourly model? In this interview, he reveals how he scaled his firm to $50 million in revenue before selling it. He explains why the traditional 33% commission model is broken for clients and how he implemented a professional services approach instead. David unpacks the terrifying reality of a 75% revenue drop during COVID and how furloughing staff saved the company. He also shares why he spun out a software startup (Hoot Recruit) to build AI agents for sourcing, the truth about whether AI will replace human recruiters, and his #1 rule for leadership: character over competence.Check out the company: https://iqrecruit.com

The U.S. House votes to release all Epstein files, Saudi's crown prince meets with Trump at the White House,  Hamas rejects a U.N. resolution approving Trump's Gaza plan, Canada's Liberals narrowly survive a budget vote, the U.K. declines to publicly release COVID vaccine death data, a Cloudflare outage disrupts services for millions of websites, Florida rescues 122 missing children, 25 schoolgirls are kidnapped in Nigeria, Trump announces fast-track visas for FIFA World Cup fans, and Anthropic releases an open-source tool to test for AI political bias. Sources: www.verity.news

 This episode with Jason James from Tezi briefly vanished from Spotify. Don't ask us why. But it's too good to not share again. So here's Jason unpacking the future of recruiting. Please enjoy.Jason James doesn't sugarcoat it: recruiting coordinators and sourcers won't exist in 5 years. In this episode, James (Co-founder and COO of Tezi) sits down with Kelli and Nolan to discuss how to screen 3000 applicants in minutes, why most great resumes just rode the elevator up at hypergrowth companies, and why AI bias audits set a higher standard than humans ever could.Support our Sponsors:Ethena is the compliance training platform built for modern workplaces. Visit goethena.com/heretics and get 10% off your first year.Metaview is the AI platform built for recruiting. Check it out: https://www.metaview.ai/heretics* Our suite of AI agents work across your hiring process to save time, boost decision quality, and elevate the candidate experience.* Learn why team builders at 3,000+ cutting-edge companies like Brex, Deel, and Quora can't live without Metaview.* It only takes minutes to get up and running.KEEP UP WITH JASON, NOLAN + KELLI ON LINKEDINJason: https://www.linkedin.com/in/jasontezi/Nolan: https://www.linkedin.com/in/nolan-church/Kelli: https://www.linkedin.com/in/kellidragovich/—Tezi: https://tezi.ai/-For coaching and advising inquire athttps://kellidragovich.com/—TIMESTAMPS:(00:00) Intro(01:55) Meet Max: The AI Agent Replacing Recruiting Busywork(03:16) AI Bias vs Human Bias: Which Is Fairer?(06:08) Human-in-the-Loop: AI Recommends, Humans Decide(07:34) AI Interviews at Top of Funnel: What Works, What Doesn't(11:00) Standing Out in a Crowded AI Recruiting Market(14:26) Sponsors: Ethena & Metaview(17:18) “RCs and Sourcers, Find Something Else”(20:30) The New Grad Opportunity: Alpha in a Tough Market(22:23) “Riding the Elevator Up”: The Resume Pedigree Problem(24:26) How to Spot Resume Riders vs Real Contributors(26:00) 100-Hour Weeks and the 9-9-6 Culture Debate(30:00) “The Best Culture Is Growth”(31:00) Tezi's Culture: Committed to Calm, Team of Adults(34:00) What's Next for Tezi?(34:56) Wrap This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit hrheretics.substack.com

What happens when AI stops making mistakes… and starts misleading you?This discussion dives into one of the most important — and least understood — frontiers in artificial intelligence: AI deception.We explore how AI systems evolve from simple hallucinations (unintended errors) to deceptive behaviors — where models selectively distort truth to achieve goals or please human feedback loops. We unpack the coding incentives, enterprise risks, and governance challenges that make this issue critical for every executive leading AI transformation.Key Moments:00:00 What is AI Deception and Why It Matters3:43 Emergent Behaviors: From Hallucinations to Alignment to Deception4:40 Defining AI Deception6:15 Does AI Have a Moral Compass?7:20 Why AI Lies: Incentives to “Be Helpful” and Avoid Retraining15:12 Is Deception Built into LLMs? (And Can It Ever Be Solved?)18:00 Non-Human Intelligence Patterns: Hallucinations or Something Else?19:37 Enterprise Impact: What Business Leaders Need to Know27:00 Measuring Model Reliability: Can We Quantify AI Quality?34:00 Final Thoughts: The Future of Trustworthy AI Mentions:Scientists at OpenAI and Apollo Research showed in a paper that AI models lie and deceive: https://www.youtube.com/shorts/XuxVSPwW8I8TIME: New Tests Reveal AI's Capacity for DeceptionOpenAI: Detecting and reducing scheming in AI modelsStartupHub: OpenAI and Apollo Research Reveal AI Models Are Learning to Deceive: New Detection Methods Show PromiseMarcus WellerHugging Face Watch next: https://www.youtube.com/watch?v=plwN5XvlKMg&t=1s  -- This episode of IT Visionaries is brought to you by Meter - the company building better networks. Businesses today are frustrated with outdated providers, rigid pricing, and fragmented tools. Meter changes that with a single integrated solution that covers everything wired, wireless, and even cellular networking. They design the hardware, write the firmware, build the software, and manage it all so your team doesn't have to.That means you get fast, secure, and scalable connectivity without the complexity of juggling multiple providers. Thanks to meter for sponsoring. Go to meter.com/itv to book a demo.---IT Visionaries is made by the team at Mission.org. Learn more about our media studio and network of podcasts at mission.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Jason James doesn't sugarcoat it: recruiting coordinators and sourcers won't exist in 5 years. In this episode, James (Co-founder and COO of Tezi) sits down with Kelli and Nolan to discuss how to screen 3000 applicants in minutes, why most great resumes just rode the elevator up at hypergrowth companies, and why AI bias audits set a higher standard than humans ever could.Support our Sponsors:Ethena is the compliance training platform built for modern workplaces. Visit goethena.com/heretics and get 10% off your first year.Metaview is the AI platform built for recruiting. Check it out: https://www.metaview.ai/heretics* Our suite of AI agents work across your hiring process to save time, boost decision quality, and elevate the candidate experience.* Learn why team builders at 3,000+ cutting-edge companies like Brex, Deel, and Quora can't live without Metaview.* It only takes minutes to get up and running.KEEP UP WITH JASON, NOLAN + KELLI ON LINKEDINJason: https://www.linkedin.com/in/jasontezi/Nolan: https://www.linkedin.com/in/nolan-church/Kelli: https://www.linkedin.com/in/kellidragovich/—Tezi: https://tezi.ai/-For coaching and advising inquire athttps://kellidragovich.com/—TIMESTAMPS:(00:00) Intro(01:55) Meet Max - The AI Agent Replacing Recruiting Busywork(03:16) AI Bias vs Human Bias: Which Is Fairer?(06:08) Human-in-the-Loop: AI Recommends, Humans Decide(07:34) What Works, What Doesn't in AI Interviews at Top of Funnel(11:00) Standing Out in a Crowded AI Recruiting Market(14:26) Sponsors: Ethena | Metaview(17:18) “RCs and Sourcers: Find Something Else”(20:30) The New Grad Opportunity(22:23) “Riding the Elevator Up”: The Resume Pedigree Problem(24:26) How to Spot Resume Riders vs Real Contributors(26:00) 100-Hour Weeks and the 9-9-6 Culture Debate(30:00) “The Best Culture Is Growth”(31:00) Tezi's Culture: Committed to Calm, Team of Adults(34:00) What's Next for Tezi (34:56) Wrap This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit hrheretics.substack.com

As we charge forward at breakneck speed into this age of AI and the next chapter of digital technology, we would be wise to start conversations with our children, families, and communities about what we're seeing.  Avriel Epps is giving you the tool to do it! As the author of “A Kid's Book About AI Bias,” Avriel used a background in social injustice and biases to create the resource missing from their own parenting journey. In this episode, we talk about the challenges of raising children in our expanding view of AI and today's world, and many other things - you don't want to miss this critical conversation. Listen now!   

Invisible systems like algorithms play a powerful role in entrepreneurial success, shaping who gets access to opportunities and who does not. On this episode of The Angel Next Door Podcast, host Marcia Dawood dives into the world of gender bias, equitable AI, and economic justice with a fresh, thought-provoking lens, challenging listeners to rethink the foundations of modern entrepreneurship.Guest Katica Roy is a gender economist, tech CEO, and advocate whose family history—rooted in stories of immigration and resilience—fuels her mission for equity. From her own battles for fair pay as a breadwinner mother to being featured in the New York Times, Katica commands a unique and powerful voice on dismantling barriers in the workplace and beyond.Together, Marcia and Katica explore how algorithmic bias perpetuates inequality, and most importantly, what all of us can do to foster change, both individually and systemically. Packed with actionable insights and a sense of urgency, this episode is a must-listen for anyone invested in creating a fairer, more innovative future in business and tech. To get the latest from Katica Roy, you can follow her below!https://www.linkedin.com/in/katicaroy/https://www.katicaroy.com/abouthttps://designobserver.com/why-ethical-ai-is-good-business/ Sign up for Marcia's newsletter to receive tips and the latest on Angel Investing!Website: www.marciadawood.comLearn more about the documentary Show Her the Money: www.showherthemoneymovie.comAnd don't forget to follow us wherever you are!Apple Podcasts: https://pod.link/1586445642.appleSpotify: https://pod.link/1586445642.spotifyLinkedIn: https://www.linkedin.com/company/angel-next-door-podcast/Instagram: https://www.instagram.com/theangelnextdoorpodcast/TikTok: https://www.tiktok.com/@marciadawood

Join us as we sit down with Christina Stathopoulos, founder of Dare to Data and former Google and Waze data strategist, to discuss the unique challenges and opportunities for women in data science and AI. In this episode, you'll learn how data bias and AI algorithms can impact women and minority groups, why diversity in tech teams is crucial, and how inclusive design can lead to better, fairer technology. Christina shares her personal journey as a woman in data, offers actionable advice for overcoming imposter syndrome, and highlights the importance of education and allyship in building a more inclusive future for data and AI. Panelists: Christina Stathopoulos, Founder of Dare to Data - LinkedInMegan Bowers, Sr. Content Manager @ Alteryx - @MeganBowers, LinkedInShow notes: Dare to DataDiversity at AlteryxInvisible WomenUnmasking AI Interested in sharing your feedback with the Alter Everything team? Take our feedback survey here!This episode was produced by Megan Bowers, Mike Cusic, and Matt Rotundo. Special thanks to Andy Uttley for the theme music.

When you ask ChatGPT or Gemini a question about politics, whose opinions are you really hearing?In this episode, we dive into a provocative new study from political scientist Justin Grimmer and his colleagues, which finds that nearly every major large language model—from ChatGPT to Grok—is perceived by Americans as having a left-leaning bias. But why is that? Is it the training data? The guardrails? The Silicon Valley engineers? Or something deeper about the culture of the internet itself?The hosts grapple with everything from “Mecha Hitler” incidents on Grok to the way terms like “unhoused” sneak into AI-generated text—and what that might mean for students, voters, and future regulation. Should the government step in to ensure “political neutrality”? Will AI reshape how people learn about history or policy? Or are we just projecting our own echo chambers onto machines?

AI is powerful. Buuuuuuuut also dangerously biased. Is your team ready to face this reality? Can you even spot when your AI is lying? We're talking real-world solutions with a bias-detection pro.Tune in or risk your AI becoming more fiction than fact.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Anatoly questions on AI biasUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Understanding Cognitive Bias2. Cognitive Bias in AI Models3. Training Data and Model Development4. Future of AI and Managing BiasTimestamps:02:00 Cognitive Bias Mitigation Platform08:50 AI Enthusiasm vs. Cautionary Tales12:48 AI Bias Stems from Human Bias16:14 Influence of System Prompts on Bias19:46 AI Information Parsing Challenges20:56 AI Training and Labeling Challenges24:05 "Achieve AI Success with Expertise"28:23 Bias and Diversity in AI Models31:33 Addressing Cognitive Bias in DataKeywords:Cognitive bias, AI failure, large language models, ChatGPT, Gemini, Copilot, Claude, bias reflection, AI news, AI sales tools, Microsoft, Salesforce, Microsoft 365 Copilot, Sales Agent, Sales Chat, Google, AI mode, Google One AI Premium, Gemini 2.0, OpenAI, AI agents, enterprise automation tools, confirmation bias, heuristic, framing bias, hallucination, training data, model perception, data labeling, reasoning models, agentic environments.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Try Google Veo 3 today! Sign up at gemini.google to get started. Try Google Veo 3 today! Sign up at gemini.google to get started. Try Google Veo 3 today! Sign up at gemini.google to get started.