Showing posts with label deep learning. Show all posts
Showing posts with label deep learning. Show all posts

Tuesday, August 18, 2026

“Deep Unlearning”: Timnit Gebru on AI Hype, Ethics & Algorithmic Racial Bias; Democracy Now!, August 13, 2026

 Democracy Now!; “Deep Unlearning”: Timnit Gebru on AI Hype, Ethics & Algorithmic Racial Bias

"We speak with Timnit Gebru, a leader in the field of AI ethics, about how artificial intelligence is entrenching societal biases and inequality. Gebru is the founder and executive director of the Distributed Artificial Intelligence Research Institute, a group of academics, activists and engineers who produce research rooted in the belief that technology should benefit everyone. She also co-founded Black in AI, a nonprofit that works to increase the inclusion and visibility of Black people in the field of AI. Gebru previously served as co-lead of the Ethical AI research team at Google but was fired in 2020 for writing a paper that warned about the financial and environmental costs of large language models, as well as their propensity to promote racism. The internet, which is what AI uses to train itself, “represents hegemonic views,” says Gebru. “We even know articles like Wikipedia are heavily biased. It’s overwhelmingly Western and male.”

Tuesday, June 5, 2018

4 Big Takeaways from Satya Nadella's Talk at Microsoft Build; Fortune,, May 7, 2018

Jonathan Vanian, Fortune; 4 Big Takeaways from Satya Nadella's Talk at Microsoft Build

"Microsoft Believes in AI and Ethics

Nadella briefly mentioned the company’s internal AI ethics team whose job is to ensure that the company’s foray into cutting-edge techniques like deep learning don’t unintentionally perpetuate societal biases in their products, among other tasks.

 He said that coders need to concentrate on building products that use “good A.I.,” in which the “the choices we make can be good choices for the future.”

Expect more technology companies to talk about AI and ethics as a way to alleviate concerns from the public about the tech industry’s insatiable appetite for data."