The formulation of artificial intelligence policies is facing new challenges and opportunities. Li Feifei, a computer scientist at Stanford University, put forward three basic principles for future policy formulation and emphasized that policies should be based on science rather than science fiction.
Li Feifei, a computer scientist and founder of Stanford University, who is known as the "Godmother of Artificial Intelligence", proposed "three basic principles for future artificial intelligence policy formulation" before the Paris Artificial Intelligence Action Summit next week. She stressed that AI policies must be based on “science rather than science fiction.”
Li Feifei believes that policy makers should focus on the reality of artificial intelligence rather than construct a grand future scenario that is envisioned by utopia or apocalypse. She specifically noted that chatbots and co-pilot programs are not “intelligent forms of intention, free will or consciousness” and that policy makers should avoid “far-fetched scenarios” and focus on “significant challenges.” Secondly, she emphasizes the "pragmatic nature" of policies rather than ideology first. Policy formulation should “minimize unexpected consequences while inspiring innovation.” Finally, Li Feifei emphasized the empowerment role of policies on "the entire artificial intelligence ecosystem - including the open source community and academia". “Opening AI models and computing tools is crucial for progress,” she said. “Restricting openness creates obstacles and hinders innovation, especially for academic institutions and researchers with fewer resources than their private sector peers.” The view provides an important reference framework for the formulation of artificial intelligence policies, emphasizing the importance of based on reality, encouraging innovation and empowering ecosystems.
Li Feifei's views provide an important reference framework for the formulation of artificial intelligence policies, emphasizing the importance of based on reality, encouraging innovation and empowering ecosystems.
These views remind us that the development of artificial intelligence requires scientific and realistic guidance to promote technological progress and social well-being.