Bender, Gebru et al 2021 (On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜, presented at FAccT 2021), has been broadly covered in the media. This page houses a collection of links to such stories. I am also collecting translations and translated summaries of the paper into various languages.

Selected Media Coverage of Stochastic Parrots

We read the paper that forced Timnit Gebru out of Google. Here’s what it says., Karen Hao, MIT Technology Review, December 4, 2020.

AI ethics pioneer’s exit from Google involved research into risks and inequality in large language models, Khari Johnson, Venture Beat, December 3, 2020.

"I started crying": Inside Timnit Gebru’s last days at Google---and what happens next, Karen Hao, MIT Technology Review, December 14, 2020.

Inside a Hot-Button Research Paper: Dr. Emily M. Bender Talks Large Language Models and the Future of AI Ethics, Hayden Field, Morning Brew, February 1, 2021.

Wie viel Ethik verträgt Google?, Eva Wolfangel, Zeit Online, February 2, 2021.

AI and the List of Dirty, Naughty, Obscene, and Otherwise Bad Words, Tom Simonite, WIRED, February 4, 2021.

Kunstig intelligens-forsker: — På en måte er hele fagfeltet en skam, Hanne Østli Jakobsen, Morgenbladet, February 12, 2021.

研究者2人を解雇した「グーグルAI騒動」、あぶり出されたAI倫理対立の深刻度, 中田 敦, 日経クロステック March 5, 2021.

भाषेचं राजकारण आणि विदाविज्ञान, लोकसत्ता टीम, लोकसत्ता March 8, 2021.

Intelligenza artificiale e questioni di genere, un problema aperto, Silvana Badaloni and Francesca Alessandra Lisi, AI4Business, March 8, 2021.

Large computer language models carry environmental, social risks, Jackson Holtz, UW News, March 10, 2021.

How one employee's exit shook Google and the AI industry, Rachel Metz, CNN Business, March 11, 2021.

Google might ask questions about AI ethics, but it doesn't want answers, John Naughton, The Guardian, March 13, 2021.

This Powerful AI Technique Led to Clashes at Google and Fierce Debate in Tech. Here's Why., Hayden Field, Emerging Tech Brew, March 29, 2021.

Wer sind wir? Warum künstliche Intelligenz immer ideologisch ist, Hannes Bajohr, Republik, April 6, 2021.

Computational language models can further environmental degradation and language bias, Kate Companion, The Daily, April 8, 2021.

I modelli di linguaggio non devono limitarsi ad apprendere dai dati, Chiara Sabelli, Scienzainrete, April 16, 2021.

Ethics of AI: Benefits and risks of artificial intelligence, Tiernan Ray, ZDNet, April 30, 2021

Inside the fight to reclaim AI from Big Tech’s control, Karen Hao, MIT Technology Review, June 14, 2021

The Chatbot Problem, Stephen Marche, The New Yorker, July 23, 2021.

An Artificial Intelligence Helped Write This Play. It May Contain Racism, Billy Perrigo, TIME, August 23, 2021.

El riesgo de los grandes modelos lingüísticos: convertirse en loros estocásticos, Esther Sánchez García y Michael Gasser, Science for the People, Volume 24, Number 2, September 2021.

Why Timnit Gebru Isn’t Waiting for Big Tech to Fix AI's Problems, Billy Perrigo, Time, January 18, 2022.

Google Paper Cites Research at Center of Its Staff Firestorm, Dina Bass, Bloomberg Technology + Equality, April 5, 2022.

Google's AI Isn’t Sentient, But It Is Biased and Terrible, Janus Rose, Motherboard Tech by VICE, June 13, 2022.

LaMDA and the Sentient AI Trap, Khari Johnson, WIRED, June 14, 2022.

Translated summaries of the paper

Français/French, by @CortexNihilo

 

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