Mystery AI Hype Theater 3000

The politicians are at it again: Senate Majority Leader Chuck Schumer's series of industry-centric forums last year have birthed a "roadmap" for future legislation. Emily and Alex take a deep dive on this report, and conclude that the time spent writing it could have instead been spent...making useful laws.References:Driving US Innovation in Artificial Intelligence: A Roadmap for A

Will the LLMs somehow become so advanced that they learn to lie to us in order to achieve their own ends? It's the stuff of science fiction, and in science fiction these claims should remain. Emily and guest host Margaret Mitchell, machine learning researcher and chief ethics scientist at HuggingFace, break down why 'AI deception' is firmly a feature of human hype.Reference:Pattern

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 m

Will AI someday do all our scientific research for us? Not likely. Drs. Molly Crockett and Lisa Messeri join for a takedown of the hype of "self-driving labs" and why such misrepresentations also harm the humans who are vital to scientific research.Dr. Molly Crockett is an associate professor of psychology at Princeton University.Dr. Lisa Messeri is an associate professor of anthro

Dr. Timnit Gebru guest-hosts with Alex in a deep dive into Marc Andreessen's 2023 manifesto, which argues, loftily, in favor of maximizing the use of 'AI' in all possible spheres of life.Timnit Gebru is the founder and executive director of the Distributed Artificial Intelligence Research Institute (DAIR). Prior to that she was fired by Google, where she was serving as co-lead of t

Award-winning AI journalist Karen Hao joins Alex and Emily to talk about why LLMs can't possibly replace the work of reporters -- and why the hype is damaging to already-struggling and necessary publications.References:Adweek: Google Is Paying Publishers to Test an Unreleased Gen AI PlatformThe Quint: AI Invents Quote From Real Person in Article by Bihar News Site: A Wake-Up Call?F

Alex and Emily put on their social scientist hats and take on the churn of research papers suggesting that LLMs could be used to replace human labor in social science research -- or even human subjects. Why these writings are essentially calls to fabricate data.References:PNAS: ChatGPT outperforms crowd workers for text-annotation tasksBeware the Hype: ChatGPT Didn't Replace Human

Science fiction authors and all-around tech thinkers Annalee Newitz and Charlie Jane Anders join this week to talk about Isaac Asimov's oft-cited and equally often misunderstood laws of robotics, as debuted in his short story collection, 'I, Robot.' Meanwhile, both global and US military institutions are declaring interest in 'ethical' frameworks for autonomous weaponry.Plus, in AI

Just Tech Fellow Dr. Chris Gilliard aka "Hypervisible" joins Emily and Alex to talk about the wave of universities adopting AI-driven educational technologies, and the lack of protections they offer students in terms of data privacy or even emotional safety.References:Inside Higher Ed: Arizona State Joins ChatGPT in First Higher Ed PartnershipASU press release version: New Collabor

Is ChatGPT really going to take your job? Emily and Alex unpack two hype-tastic papers that make implausible claims about the number of workforce tasks LLMs might make cheaper, faster or easier. And why bad methodology may still trick companies into trying to replace human workers with mathy-math.Visit us on PeerTube for the video of this conversation.References:OpenAI: GPTs are GP