AWS re:Invent 2023 - Responsible AI in the generative era: Science and practice (AIM220)

The rapid growth of generative AI brings promising innovation and at the same time raises new challenges around its safe and responsible development and use. These challenges include some that were common before generative AI, such as bias and explainability, and new ones unique to generative models, including hallucination, toxicity, and intellectual property protection. In this session, get an overview of the challenges presented by generative AI, survey the emerging science around them, and discuss the hands-on, responsible AI work being conducted on AWS.

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[ALrX]

These issues are already addressed with models like 4o. The Responsible AI term has lost 70% of its presented topics already. It's moving fast - the standard templatization, finding words for concepts etc. for technology is unlike traditional topics, where you can develop a concept and expect it to remain relevant. It becomes outdated within a year.