Michelle Mahon, a seasoned registered nurse and Director of Nursing Practice with National Nurses United, dives deep into the misconceptions surrounding AI in healthcare. She emphasizes that chatbots can't replace the human touch nurses provide. The conversation reveals alarming statistics about AI performance in patient care and discusses ethical concerns regarding its implementation. Mahon also advocates for thoughtful regulation to protect the vital role of nurses, highlighting the risks of relying too heavily on technology in healthcare.

Computer scientist Ali Alkhatib discusses Google DeepMind's flawed study on dangerous capabilities of large language models, emphasizing the social implications of AI. Critiques on poorly developed AI models, misinterpretations in AI research, hacker tools extracting data, and the limitations of tech news solutions are also explored. The conversation challenges hierarchical thinking in AI benchmarks and deceptive rhetoric in promoting harmful ideas.

UCLA scholar Safiya Noble discusses Google's AI overviews and its impact on search accuracy. They critique the prioritization of ad sales over information quality and explore AI advancements. The hosts joke about a librarian stuck with Google AI summaries and a Catholic priest's Gatorade baptism blunder. They cover the National Archive banning ChatGPT, LLMs outperforming humans in moral guidance, Taco Bell's AI initiatives, and predictions of AGI by 2027. The episode also questions the credibility of a graph on intelligence hierarchy.

In this podcast, Emily and Alex analyze the Senate's AI policy roadmap, highlighting its industry-centric focus. They discuss AI's impact on jobs, workforce, and critical infrastructure. The chapter also touches on humor in AI hell, bias in AI systems, and tech news stories like AI police reports and Scarlett Johansson's voice controversy.

Machine learning researcher Margaret Mitchell joins the hosts to discuss 'AI deception', critiquing the misleading framing of AI systems, the risks of advanced AI capabilities, and ethical considerations in AI email communication. They also explore the impact of AI-generated text on human interactions and legal risks in using AI tools for employee handbooks.

AI Hell froze over this winter and now a flood of meltwater threatens to drown Alex and Emily. Armed with raincoats and a hastily-written sea shanty*, they tour the realms, from spills of synthetic information, to the special corner reserved for ShotSpotter.**Lyrics & video on Peertube.*Surveillance:*Public kiosks slurp phone dataWorkplace surveillanceSurveillance by bathroom mirrorStalking-as-a-serviceCops tap everyone else's videosFacial recognition at the doctor's office*Synthetic information spills:*Amazon products called “I cannot fulfill that request”AI-generated obituariesX's Grok treats Twitter trends as newsTouch the button. Touch it.Meta’s chatbot enters private discussionsWHO chatbot makes up medical info*Toxic wish fulfillment:*Fake photos of real memories*ShotSpotter:*ShotSpotter adds surveillance to the over-policedChicago ending ShotSpotter contractBut they're listening anyway*Selling your data:*Reddit sells user dataMeta sharing user DMs with NetflixScraping Discord*AI is always people:*Amazon Fresh3D artGeorge Carlin impressionsThe people behind image selection*TESCREAL corporate capture:*Biden worried about AI because of "Mission: Impossible"Feds appoint AI doomer to run US AI safety instituteAltman & friends will serve on AI safety board*Accountability:*FTC denies facial recognition for age estimationSEC goes after misleading claimsUber Eats courier wins payout over ‘racist’ facial recognition appCheck out future streams at on Twitch, Meanwhile, send us any AI Hell you see.Our book, 'The AI Con,' comes out in May! Pre-order now.Subscribe to our newsletter via Buttondown. Follow us!Emily Bluesky: emilymbender.bsky.social Mastodon: dair-community.social/@EmilyMBender Alex Bluesky: alexhanna.bsky.social Mastodon: dair-community.social/@alex Twitter: @alexhanna Music by Toby Menon.Artwork by Naomi Pleasure-Park. Production by Christie Taylor.

Drs. Molly Crockett and Lisa Messeri discuss the hype of 'self-driving labs' and the importance of human involvement in scientific research. They debunk myths about AI replacing scientists, explore the risks of oversimplifying AI in research, and emphasize the need for critical discussions on AI's limitations and benefits in scientific endeavors.

Dr. Timnit Gebru analyzes Marc Andreessen's AI manifesto, critiquing techno-optimism and discussing colonization, anarcho-capitalism in tech, and safety concerns. They delve into topics like DrugGPT for medicine, wearable AI devices, and the influence of Silicon Valley ideals in the AI realm.

Award-winning AI journalist Karen Hao discusses the limitations of AI in replacing reporters and the damaging hype surrounding LLMs. The conversation addresses Google's funding of news articles by unreleased LLMs and the impact on struggling publications. They also touch on the exploitative nature of Google's AI program for independent publishers and the challenges faced by aspiring journalists in the changing landscape of journalism.

Alex and Emily discuss the use of large language models in social science research, critiquing the idea of replacing human subjects with LLMs. They explore algorithmic bias, concerns about monetizing text data, AI events gone wrong, fake quotes in news, and the impact of deep fakes on election integrity.