AI learned from their work. Now they want compensation.; The Washington Post, July 16, 2023

 Gerrit De Vynck, The Washington Post; AI learned from their work. Now they want compensation.

"Artists say the livelihoods of millions of creative workers are at stake, especially because AI tools are already being used to replace some human-made work. Mass scraping of art, writing and movies from the web for AI training is a practice creators say they never considered or consented to.

But in public appearances and in responses to lawsuits, the AI companies have argued that the use of copyrighted works to train AI falls under fair use — a concept in copyright law that creates an exception if the material is changed in a “transformative” way."

Thousands of authors urge AI companies to stop using work without permission; Morning Edition, NPR, July 17, 2023

 Chloe Veltman, Morning Edition NPR; Thousands of authors urge AI companies to stop using work without permission

"Thousands of writers including Nora Roberts, Viet Thanh Nguyen, Michael Chabon and Margaret Atwood have signed a letter asking artificial intelligence companies like OpenAI and Meta to stop using their work without permission or compensation."

Ethics Teams in Tech Are Stymied by Lack of Support; Stanford University Human-Centered Artificial Intelligence (HAI), June 21, 2023

Katharine Miller

,  Stanford University Human-Centered Artificial Intelligence (HAI); Ethics Teams in Tech Are Stymied by Lack of Support

"In recent years, AI companies have been publicly chided for generating machine learning algorithms that discriminate against historically marginalized groups. To quell that criticism, many companies pledged to ensure their products are fair, transparent, and accountable, but these promises are frequently criticized as being mere “ethics washing,” says Sanna Ali, who recently received her PhD from the Stanford University Department of Communication in the School of Humanities and Sciences. “There’s a concern that these companies talk the talk but don’t walk the walk.”

To explore whether that’s the case, Ali interviewed AI ethics workers from some of the largest companies in the field. The research project, co-authored with Stanford Assistant Professor of Communication Angèle Christin, Google researcher Andrew Smart, and Stanford W.M Keck Professor and Professor of Management Science and Engineering Riitta Katila, was partially funded by a seed grant from Stanford HAI and published in the Proceedings of the ACM Conference on Fairness, Accountability, and Transparency(FAccT ’23). The study found that ethics initiatives and interventions were difficult to implement in the tech industry’s institutional environment. Specifically, Ali found, teams were largely under-resourced and under-supported by leadership, and they lacked authority to act on problems they identified."