It’s said that Henry Ford’s customers wanted a “a faster horse”. If Henry Ford was selling us artificial intelligence today, what would the customer call for, “a smarter human”? That’s certainly the picture of machine intelligence we find in science fiction narratives, but the reality of what we’ve developed is far more mundane. ... Show More
Mar 2025
Privacy, Verification, Robustness: A Cryptographer's perspective on ML
Strachey Lecture: Privacy, Verification, Robustness: A Cryptographer's perspective on ML Cryptographic tools enable the safe use of technology platforms controlled by worst case computationally bounded adversaries.In this talk I will show how cryptographic paradigms and tools can ... Show More
1h 4m
Feb 2024
#179 Why ML Projects Fail, and How to Ensure Success with Eric Siegel, Founder of Machine Learning Week, Former Columbia Professor, and Bestselling Author
We are in a Generative AI hype cycle. Every executive looking at the potential generative AI today is probably thinking about how they can allocate their department's budget to building some AI use cases. However, many of these use cases won't make it into production.In a similar ... Show More
48 m
Jun 2023
Ethan Mollick — How AI Changes Everything (EP.165)
Ethan Mollick is an Associate Professor at the Wharton School of the University of Pennsylvania, where he studies and teaches innovation and entrepreneurship. He also leads Wharton Interactive, an effort to democratize education using games, simulations, and AI. When Ethan starte ... Show More
53m 47s
Jan 2023
24. Artificial Intelligence: What Is It? What Is It Not? (feat. Susan Farrell, Principal UX Researcher at mmhmm.app)
The term artificial intelligence, AI, is having a bit of a boom, with the explosion in popularity of tools like ChatGPT, Lensa, DALL•E 2, and many others. The praises of AI have been equally met with skepticism and criticism, with cautionary tales about AI information quality, pl ... Show More
35m 35s
May 2023
#151 – Ajeya Cotra on accidentally teaching AI models to deceive us
Imagine you are an orphaned eight-year-old whose parents left you a $1 trillion company, and no trusted adult to serve as your guide to the world. You have to hire a smart adult to run that company, guide your life the way that a parent would, and administer your vast wealth. You ... Show More
2h 49m