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The list of AI insiders sounding the alarm on their own companies keeps growing

Last week, OpenAI safety leader David Robinson resigned from the company, becoming the latest to join what is, in his words , a “parade of former colleagues” who have left roles at AI companies amid concerns about the tech or its use. In a subsequent essay for The Atlantic , he said the “trial and error” approach favored by AI companies must end. Robinson is far from alone. Here’s a list of other…

The list of AI insiders sounding the alarm on their own companies keeps growing

The number of AI professionals expressing alarm about their own companies continues to increase. David Robinson, who once led OpenAI's safety efforts, recently quit the company, advocating for an end to the "trial and error" approach in AI development. Ed Newton-Rex, formerly Stability AI's audio team leader, resigned over similar concerns about copyright usage.

A group letter signed by 13 current and former AI employees, including Ramana Kumar, Neel Nanda, and Jacob Hilton, warned of dangers like inequality, manipulation, and potential human extinction. Former OpenAI employees like Jacob Kokotajlo, William Saunders, and Daniel Ziegler also endorsed the letter.

Jan Leike, a key figure in OpenAI's Superalignment team, recently walked away, citing a lack of safety culture. Suchir Balaji, who worked on ChatGPT at OpenAI, left after blowing the whistle on copyright issues that ultimately led to his untimely death.

Mrynank Sharma, who led Anthropic's Safeguards Research, resigned, expressing concerns over the world being "in peril" due to AI and other crises. Alex Turner quit Google DeepMind after a failed attempt to prevent Pentagon's misuse of its AI for surveillance and autonomous weapons. Jacob Coxon, a former researcher at both OpenAI and Anthropic, resigned, warning of the dangers of an AI race that could result in mass destruction.

Written by urgent.news from Fast Company's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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