Nicole Holliday, Acting Associate Professor of Linguistics at UC Berkeley, dives into the world of AI speech analysis tools. She critiques their ability to measure communication and emotions, revealing them as ineffective 'bossware' with little real insight. The conversation explores ethical concerns around privacy, especially for neurodivergent individuals, and discusses the mystification of language inherent in these technologies. Holliday highlights the potential biases in AI tools and the psychological impact of rating metrics like filler words on individuals during meetings.

Emily and Alex read a terrible book so you don't have to! Come for a quick overview of LinkedIn co-founder and venture capitalist Reid Hoffman's opus of magical thinking, 'Superagency: What could possibly go right with our AI future' -- stay for the ridicule as praxis. Plus, why even this tortuous read offers a bit of comfort about the desperate state of the AI boosters.References:The cursèd book itselfAI and the Everything in the Whole Wide World BenchmarkMilitants and Citizens: The Politics of Participatory Democracy in Porto AlegreFresh AI Hell:Parents rationalizing exposing kids to AIUnderage, sexualized celebrity botsBossware a bad look, actuallyCalState faculty union opposes AI initiativeThe kids are alrightCheck 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.

Raina Bloom, Reference Services Coordinator at the University of Wisconsin-Madison Libraries, shares her expertise on the unraveling U.S. information ecosystem. She discusses the ethical dilemmas posed by AI in representing diverse viewpoints and the dangers of misinformation. Bloom critiques reliance on AI in journalism, emphasizing journalistic integrity and the risks of AI-generated content. The conversation also highlights the importance of context and historical perspectives in understanding AI biases and the role of technology in managing information.

Joining the discussion is Tamara Kneese, the Director of Climate, Technology, and Justice at the Data & Society Research Institute. She dives into the absurdity of lunar data centers and critiques Silicon Valley's technosolutionist dreams. The conversation also highlights the environmental impact of AI and Bitcoin, addressing the societal backlash against these technologies. Kneese advocates for scientific research over blind faith in innovation, stressing the urgent need for genuine solutions to climate challenges and the preservation of Indigenous languages.

Gina Neff, executive director of the Minderoo Centre for Technology and Democracy, critiques the UK Prime Minister's recent AI investment initiative, highlighting its potential to benefit big tech rather than the economy or workers. She dismantles the 'AI Opportunities Action Plan,' questioning its effectiveness amidst austerity measures. The conversation underscores the urgent need for a regulatory framework prioritizing labor rights and explores the disconnect between AI ambitions and childhood play, revealing a tug-of-war between technology and imagination.

This conversation dives into OpenAI's groundbreaking o3 model and its claims of nearing human-like intelligence. Sam Altman's reflections on ChatGPT reveal the complex dynamics of AGI development. The hosts humorously examine AI's role in everyday tools, like kitchen faucets, and the ethical implications surrounding its adoption in schools. They also tackle the climate crisis through the lens of AI's environmental impact and highlight concerns over AI's integration into academia and public policy, urging for clear communication and accountability.

The podcast takes a critical look at AI's role in medical education, questioning its fairness. They hilariously dissect UCLA's use of AI in literature courses and examine AI’s shortcomings in parenting and social issues. Ancient civilizations are explored with skepticism about AI's effectiveness. Legal missteps shine a light on OpenAI's data handling troubles, while a discussion on media bias reveals the complexities of news metrics. Finally, healthcare applications of AI highlight concerns about reliability and emotional connections.

Once upon a time, artificial general intelligence was the only business plan OpenAI seemed to have. Tech journalist Brian Merchant joins Emily and Alex for a time warp to the beginning of the current wave of AI hype, nearly a decade ago. And it sure seemed like Elon Musk, Sam Altman, and company were luring investor dollars to their newly-formed venture solely on the hand-wavy promise that someday, LLMs themselves would figure out how to turn a profit.Brian Merchant is an author, journalist in residence at the AI Now Institute, and co-host of the tech news podcast System Crash.References:Elon Musk and partners form nonprofit to stop AI from ruining the worldHow Elon Musk and Y Combinator Plan to Stop Computers From Taking OverElon Musk's Billion-Dollar AI Plan Is About Far More Than Saving the WorldBrian’s recent report on the business model of AGI, for the AI Now Institute: AI Generated Business: The rise of AGI and the rush to find a working revenue modelPreviously on MAIHT3K: Episode 21: The True Meaning of 'Open Source' (feat. Sarah West and Andreas Liesenfeld)Fresh AI Hell:OpenAI explores advertising as it steps up revenue driveIf an AI company ran Campbell's Soup with the same practices they use to handle dataHumans are the new 'luxury item'Itching to write a book? AI publisher Spines wants to make a dealA company pitched Emily her own 'verified avatar'Don't upload your medical images to chatbotsA look at a pilot program in Georgia that uses 'jailbots' to track inmatesCheck 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.

Adrienne Williams, a former educator and DAIR research fellow, dives into the detrimental impact of tech-savvy billionaires on education. She critiques their focus on AI solutions while ignoring systemic issues in underfunded schools. The conversation highlights the challenges faced by educators of color, the ethical dilemmas of data sharing, and the startling realities of biased AI technologies. From the absurdities of self-driving wheelchairs to the dangers of AI-driven narratives, Adrienne encourages a critical look at tech’s role in our classrooms.

OpenAI's latest ambitious claim about its new model's 'complex reasoning' sparks a lively dissection by the hosts. They highlight the absurdity of relying on so-called experts for dataset validation. As they delve into the murky waters of AI policies and human values, a fictional AI hell provides comedic relief amid serious critiques. The conversation shifts to the ethical implications of recent AI actions, advocating for greater consumer awareness and protection against the risks posed by new technologies.