Irene Solaiman’s Post

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AI Safety & Tech Policy

Yesterday, my giant looming head joined The Royal Society launch of their Science in the Age of AI report, which is full of brilliant recommendations and insights. In Areeq Chowdhury's words: It warns that an overdependence on 'opaque' AI systems could make scientific research findings less reliable & limit their usefulness for solving real world challenges. This does not stop AI generating useful insights, but there are various significant challenges to overcome. Some more favorite pieces: - public infrastructure in compute and usable data is paramount - better access mechanisms for high quality and sensitive data - research methodologies as an artifact for release - investing in domain-specific taxonomies - labo(u)r as infrastructure - better understanding tradeoffs of "performance" and "safety" - reproducibility varies across cultural contexts Congrats to the team and thanks to Areeq Chowdhury, Alison Noble, Dawn Bloxwich, and Max Beverton-Palmer for a great discussion! Read the report here: https://lnkd.in/gTnrMam4

  • photo of panel discussion
Usman Gohar

Ph.D. Student | Google CSRMP'23 | Fair & Responsible AI | AI Ethics | Data Scientist

1mo

Go Irene Solaiman!! 🤩

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