Fei-Fei Li, a prominent AI scientist, presented three core principles for AI policy ahead of the upcoming AI Action Summit: 1) Policies should be based on scientific realities rather than speculative scenarios, stressing that current AI technologies lack consciousness. 2) Policymaking must be pragmatic to reduce unintended consequences while promoting innovation. 3) It is essential to empower the entire AI ecosystem, including academia and open-source communities, as limiting access to tools creates barriers that hinder progress, especially for less resourced institutions.
Li argues that AI policy should be based on real science rather than speculative futures, emphasizing the need to focus on present-day realities.
Policymaking must pragmatically aim to minimize unintended consequences while fostering innovation, rather than being driven by ideological beliefs.
Empowering the entire AI ecosystem, including open-source communities and academic institutions, is essential. Limiting access to AI models obstructs progress and innovation.
Open access to AI models and tools is vital for all researchers, especially those from under-resourced academic backgrounds, to stimulate innovation.
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