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  • #350 How to Make Hard Choices in AI with Atay Kozlovski, Researcher at the University of Zurich

    3 DAYS AGO

    1

    #350 How to Make Hard Choices in AI with Atay Kozlovski, Researcher at the University of Zurich

    Across the AI industry, high-stakes tools are being deployed in places where errors can harm people: sepsis alerts in hospitals, identity checks, welfare fraud detection, immigration enforcement, and recommendation systems that shape life outcomes. The pattern is familiar: scale and speed go up, while human review becomes rushed, shallow, or punished for disagreeing. In daily work, that can look like a nurse forced to act on false alarms, or a team using an LLM summary in ways the designers never planned. When should you slow down deployment? How do you detect new “wild” use cases early? And what does responsible tracking and oversight look like under real pressure? Atay Kozlovski is a Postdoctoral Researcher at the University of Zurich’s Center for Ethics. He holds a PhD in Philosophy from the University of Zurich, an MA in PPE from the University of Bern, and a BA from Tel Aviv University. His current research focuses on normative ethics, hard choices, and the ethics of AI. In the episode, Richie and Atay explore why AI failures keep happening, from automation bias to opaque targeting and hiring models. They unpack “meaningful human control,” accountability, and design in healthcare, government, and warfare. You’ll also hear about deepfakes, consent, digital twins, and AI-driven civic engagement, and much more. Links Mentioned in the Show: “Lavender” IDF recommendation systemAmnesty International reports on AI/automation in welfare systems“Meaningful Human Control” (MHC) frameworkConnect with AtayAI-Native Course: Intro to AI for WorkRelated Episode: Harnessing AI to Help Humanity with Sandy Pentland, HAI Fellow at StanfordExplore AI-Native Learning on DataCamp New to DataCamp? Learn on the go using the DataCamp mobile app Empower your business with world-class data and AI skills with DataCamp for business

    3 days ago

    •
    1h 10m
  • Disentanglement and Interpretability in Recommender Systems

    2 DAYS AGO

    2

    Disentanglement and Interpretability in Recommender Systems

    Data Skeptic

    2 days ago

    •
    31 min
  • AI policy and the battle for computing power

    3 DAYS AGO

    3

    AI policy and the battle for computing power

    AI is reshaping global power, from chip manufacturing and computing power to AI governance and US-China relations.  In this episode, Ben Buchanan, Assistant Professor at The Johns Hopkins University and former White House Special Advisor for AI, explores how AI policy, geopolitics, and international cooperation intersect with AI  innovation and AI safety. We discuss the strategic importance of computing power, the future of AI governance, and what it will take for democracies to lead responsibly in the age of AI. Featuring: Ben Buchanan – LinkedIn Chris Benson – Website, LinkedIn, Bluesky, GitHub, XLinks: The AI Grand BargainUpcoming Events:  Register for upcoming webinars here!

    3 days ago

    •
    49 min
  • Chicken Mating Harnesses - Supreme Court Rules AI Art Not Copyrightable

    4 DAYS AGO

    4

    Chicken Mating Harnesses - Supreme Court Rules AI Art Not Copyrightable

    Between copyright-free AI art, government blacklists, and data brokers run amok, this episode spotlights the fierce new battles for privacy, agency, and control in our digital lives. Plus, hear Cory Doctorow break down why the AI gold rush may be headed for a colossal crash. Pentagon Officially Tells Anthropic It Is a Supply Chain Risk Trump moves to blacklist Anthropic AI from all government work If AI is a weapon, why don't we regulate it like one? Sam Altman's greed and dishonesty are finally catching up to him ChatGPT user base surges 350% in 18 months as it nears 1 billion weekly active users AI-generated art can't be copyrighted after the Supreme Court declines to review the rule Chardet dispute shows how AI will kill software licensing, argues Bruce Perens Grammarly is using our identities without permission Alphabet Grants Sundar Pichai Stock Awards Worth Up to $686 Million Google vs Epic Games ends with Android app stores, lower fees Google Ends Its 30% App Store Fee, Welcomes Third-Party App Stores - Slashdot Xbox CEO confirms next-gen 'Project Helix' console will play PC games Motorola Partners With GrapheneOS - Slashdot Data Broker Breaches Fueled Nearly $21 Billion in Identity-Theft Losses CBP Tapped Into the Online Advertising Ecosystem To Track Peoples' Movements Proton Mail Helped FBI Unmask Anonymous 'Stop Cop City' Protester COPPA 2.0 passes the Senate again, unanimously this time South Korean Police Lose Seized Crypto By Posting Password Online Iranian drone strikes at Amazon sites raise alarms over protecting data centers Charter Gets FCC Permission To Buy Cox, Become Largest ISP In the US How Big Diaper absorbs billions of extra dollars from American parents Anne Wojcicki's Plan to Revive 23andMe: Rich Donors, Improved Tests—and Maybe Even MAHA Bundle of human neurons hooked to silicon learns to stumble through Doom 10% of Firefox crashes are caused by bitflips Seagate Just Unleashed 44TB Hard Drives Host: Leo Laporte Guests: Joey de Villa and Cory Doctorow 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: zscaler.com/security joindeleteme.com/twit promo code TWIT meter.com/twit NetSuite.com/TWIT bitwarden.com/twit

    4 days ago

    •
  • #23 - Freelance Data Scientist, il investit et se construit 1M€ de patrimoine immobilier

    17 FEB

    5

    #23 - Freelance Data Scientist, il investit et se construit 1M€ de patrimoine immobilier

    Morgan Gautherot est freelance Senior Data Scientist et investisseur immobilier. En parallèle de son activité en data, il a constitué en quelques années un patrimoine immobilier d’environ 1 million d’euros, financé grâce à plus de 800 000 € de dette, tout en optimisant sa structure d’entreprise (holding + SASU). On aborde : 🔥 Son parcours : de la thèse en IA au freelancing full-time 🔥 Comment il a acheté 5 biens et construit un patrimoine de 1M€ 🔥 Sa méthode pour obtenir des prêts sans 3 bilans en freelance 🔥 Sa stratégie financière : structure d’entreprise, dette, cash et investissements 💪 T’ES UN EXCELLENT FREELANCE DATA ? DataGen a lancé un collectif de freelances data issus des plus belles boîtes (BlaBlaCar, Aircall, Criteo, Artefact, 55, Sunday...). 👉 Candidate pour rejoindre le collectif ici. 📚 RESSOURCES - Le LinkedIn de Morgan - La Chaîne Youtube - Theophile Eliet 🎬 CHAPITRES 00:00 Son parcours 03:48 Ses débuts dans l’immobilier 07:04 Pourquoi il a commencé à investir ? 09:31 Pourquoi l’immobilier ? 13:00 Sa situation actuelle 18:10 Comment emprunter en freelance ? 21:18 Structurer son activité pour investir 🤩 AUTRES ÉPISODES QUE VOUS DEVRIEZ AIMER #12 – Masterclass : Choisir son statut d’entreprise en freelancing #18 – Ce freelance a lancé un side business qui lui rapporte +5K€ / mois #22 – Devenir Data Engineer au Canada et gagner 250K$/an avec Willis Nana 🎙 SOUTENEZ LE PODCAST GRATUITEMENT EN VOUS ABONNANT ET EN LAISSANT UN AVIS 5 ETOILES SUR APPLE PODCASTS 🥰 Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

    17 Feb

    •
    27 min
  • Did Netflix Ruin Movies?

    6 MAR

    6

    Did Netflix Ruin Movies?

    Few companies have reshaped American culture as aggressively as Netflix. This week’s Galaxy Brain charts how we got here. Charlie Warzel talks with Atlantic film critic David Sims about Netflix’s strange, sweeping arc: from red DVD envelopes to a streaming colossus with 325 million subscribers. Sims explains how Hollywood initially shrugged off streaming as a novelty, only to watch Netflix reshape both distribution and the aesthetics and economics of entertainment itself.  Together, they discuss the rise of binge culture, data-driven green-lighting, and the tension between prestige projects and “second screen” slop built for distracted viewers. The conversation also examines Netflix’s stance toward theaters, its aborted bid for Warner Bros. Discovery, and the deeper question haunting the industry: Has Netflix simply exploited technological inevitabilities—or has it rewired our expectations of what movies and television are supposed to be? Get more from your favorite Atlantic voices when you subscribe. You’ll enjoy unlimited access to Pulitzer-winning journalism, from clear-eyed analysis and insight on breaking news to fascinating explorations of our world. Atlantic subscribers also get access to exclusive subscriber audio in Apple Podcasts. Subscribe today at theAtlantic.com/listener. Learn more about your ad choices. Visit megaphone.fm/adchoices

    6 Mar

    •
    42 min
  • Won't you see my neighbor? (feat. Matt Guariglia)

    4 DAYS AGO

    7

    Won't you see my neighbor? (feat. Matt Guariglia)

    On February 8, during the Super Bowl in the United States, countless owners of one of the most popular smart products today got a bit of a wakeup call: Their Ring doorbells could be used to see a whole lot more than they knew. In a commercial that was broadcast to one of most reliably enormous audiences in the country, Amazon, which owns the company Ring, promoted a new feature for its smart doorbells called “Search Party.” By scouring the footage of individual Ring cameras across a specific region, “Search Party” can implement AI-powered image recognition technology to find, as the commercial portrayed it, a lost dog. But immediately after the commercial aired, people began wondering what else their Ring cameras could be used to find. As US Senator Ed Markey wrote on social media: “Ring’s Super Bowl ad exposed a scary truth: the technology in its doorbell cameras could be used to hunt down a lost pet…or a person. Amazon must discontinue its dystopian monitoring features.”These “dystopian monitoring features” aren’t entirely new, but that’s not to say that most Ring owners knew what they were allowing when they originally bought their devices. Bought by Amazon in 2018, Ring is the most popular manufacturer of a product that, as of 15 years ago, didn’t really exist. And while other “smart” innovations failed, smart doorbells have become a fixture of American neighborhoods, providing a mixture of convenience and security. For instance, a Ring owner away from home can verify and buzz in their mailman dropping off a package behind a gated entrance. Or, a Ring owner can see on their phone that the person knocking at their door is a salesman and choose to avoid talking to them. Or, a Ring owner can help police who are investigating a crime in their area by handing over relevant footage. Even the presence of a Ring doorbell, and its variety of motion-detecting alerts, could possibly serve as a deterrent to crime. What has seemingly upset so many of those same owners, then, is learning exactly how their personal devices might be used for a company’s gains. Today, on the Lock and Code podcast with host David Ruiz, we speak with Matthew Guariglia, senior policy analyst at Electronic Frontier Foundation, about Ring’s long history of partnering with—and sometimes even speaking directly for—police, who can access Ring doorbell footage both inside the company and outside it, and what people really open themselves up to when purchasing a Ring device. ”There’s this impression, a myth practically, that ‘I buy a ring doorbell to put on my house, I control the footage… But there is [an] entire secondary use of this device, which is by police that you don’t really get a lot of say in.”Tune in today. You can also find us on Apple Podcasts, Spotify, and whatever preferred podcast platform you use. For all our cybersecurity coverage, visit Malwarebytes Labs at malwarebytes.com/blog. Show notes and credits: Intro Music: “Spellbound” by Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 4.0 License http://creativecommons.org/licenses/by/4.0/ Outro Music: “Good God” by Wowa (unminus.com) Listen up—Malwarebytes doesn't just talk cybersecurity, we provide it. Protect yourself from online attacks that threaten your identity, your files, your system, and your financial well-being with our exclusive offer for Malwarebytes Premium for Lock and Code listeners.

    4 days ago

    •
    32 min
  • Iran Strikes in the AI Era; Prediction Markets Ethics; Paramount Beats Netflix

    5 MAR

    8

    Iran Strikes in the AI Era; Prediction Markets Ethics; Paramount Beats Netflix

    This week, the team dives into why disinformation and the AI industry battles have quickly positioned themselves at the center of the ongoing conflict between the U.S and Iran. They also discuss how prediction markets like Polymarket and Kalshi are increasingly facing insider trading accusations and ethical questions. Also, how did Paramount beat Netflix in its bid for Warner Bros? Plus — Zoë, Brian, and Leah share their predictions for the future. Articles mentioned in this episode: X Is Drowning in Disinformation Following US and Israeli Attack on Iran  How Journalists Are Reporting From Iran With No Internet  Anthropic Hits Back After US Military Labels It a ‘Supply Chain Risk’  A Former Top Trump Official Is Going After Prediction Markets  Everything Larry and David Ellison Will Control If Paramount Buys Warner Bros. Join WIRED’s best and brightest on Uncanny Valley as they dissect the collision of tech, politics, finance, and business, from Alexis Ohanian's newest tech venture to the effects of inaccurate information from artificial intelligence (AI) chatbots on social protests. Learn about your ad choices: dovetail.prx.org/ad-choices

    5 Mar

    •
    34 min
  • #349 From AI Governance to AI Enablement with Stijn Christiaens, CEO at Collibra

    5 MAR

    9

    #349 From AI Governance to AI Enablement with Stijn Christiaens, CEO at Collibra

    Data governance has been around long enough to develop playbooks, but AI governance is evolving in real time. Industry trends like LLMs, agents, and emerging “swarms” are changing what oversight even means, from data lineage to agent-to-agent provenance. For working teams, the questions are immediate: who leads—legal, security, IT, data, or a new AI role? How do you set standards so engineers aren’t using a different tool for every task? What maturity framework should you measure against, and how often should you reassess as technology shifts? How do you help teams move fast without breaking trust? Stijn is a data governance veteran and one of the leading thinkers in the space. He runs data strategy, data infrastructure, and product evangelism at the data and AI governance company Collibra. Since founding Collibra 18 years ago, Stijn has held several executive positions, including COO and CTO. In the episode, Richie and Stijn explore AI governance failures and wins, risks from agents that can act on systems, creating visibility with an agent registry, how AI governance differs from data governance, ownership across legal, security, IT, and data teams, EU AI Act risk tiers, and much more. Links Mentioned in the Show: CollibraConnect with StijnAI-Native Course: Intro to AI for WorkRelated Episode: The New Paradigm for Enterprise AI Governance with Blake Brannon, Chief Innovation Officer at OneTrustExplore AI-Native Learning on DataCamp New to DataCamp? Learn on the go using the DataCamp mobile app Empower your business with world-class data and AI skills with DataCamp for business

    5 Mar

    •
    53 min
  • 972: In Case You Missed It in February 2026

    6 DAYS AGO

    10

    972: In Case You Missed It in February 2026

    Jon Krohn recaps the month of February in this episode of In Case You Missed It. Across four interviews with Will Falcon (Episode 965), Tom Griffiths (Episode 969), Antje Barth (Episode 963), and Praveen Murugesan (Episode 967), Jon questions the brains behind some of the AI industry’s most innovative companies about launching a startup, developing a popular product, what artificial intelligence can still learn from human intelligence, and how AI might finally start to think on its own. Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/972⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

    6 days ago

    •
    27 min

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