When a human learns a new word, we're learning to attach that word to a set of concepts in the real world. When a computer "learns" a new word, it is creating some associations between that word and other words it has seen before, which can sometimes give it the appearance of understanding, but it doesn't have that rea

Peoples & Things host, Lee Vinsel, talks to Emily Bender, Professor of Linguistics, Director of the Masters of Science in Computational Linguistics program, and Director of the Computational Linguistics Laboratory at University of Washington, about her work on artificial intelligence criticism. Bender is also an adjunc

In this "AI & Equality" podcast, guest host and AIEI board advisor Dr. Kobi Leins is joined by University of Washington’s Professor Emily Bender for a discussion on systems, power, and how we are changing the world, one technological decision at a time. With a deep expertise in language and computers, Bender brings her

Are generative AI systems such as OpenAI’s ChatGPT really intelligent? Large language models such as GPT 4 appear to use human-level cognitive abilities when they engage in legal reasoning, write essays or solve complex problems. Hosts John Thornhill and Madhumita Murgia speak to Emily Bender, professor of computationa

If even AI companies are fretting about the existential threat that human-level AI poses, why are they building these machines in the first place? And as they press ahead, a debate is raging about how we regulate this emergent sector to keep it under control. In the second episode of a new, five-part series of Tech Ton

So-called “artificial intelligence” is one of the most divisive topics of the year, with even those who understand it in total disagreement about its potential impacts. This week, A.I. reseachers and authors of the famous paper “On the Dangers of Stochastic Parrots”, Emily Bender and Timnit Gebru, join Adam to discuss