Ai's top critic warns against doom narratives as industry faces ethical and technical crises

Timnit Gebru, a leading AI researcher and former Google employee, has criticized the industry's focus on AI 'doom' scenarios, arguing they distract from real-world risks. She recently commented on recent events in the AI sector, including a high-profile dispute over a $1 million math problem and the resignation of an Anthropic engineer who raised concerns about AI safety practices. Gebru, who is set to publish a book titled 'Deep Unlearning,' rejects the narrative that AI will cause human extinction, calling it a distraction from pressing issues like autonomous weapons, climate change, and labor displacement. She emphasized the need for accountability in AI development, comparing it to the regulatory processes for building bridges. Gebru also criticized the industry's shift toward competition over collaboration, particularly as companies prepare for IPOs. She highlighted the importance of distinguishing between real threats and speculative fears, noting that many AI 'apocalypse' scenarios have been discussed since the 1940s.