Description
Which is more dangerous, open source AI or large language models and other forms of generative AI totally controlled by an oligopoly of corporations? Will open access to building generative AI models make AI more democratic? What other approaches to ensuring generative AI is safe and democratic are available?
Carnegie-Uehiro Fellow Wendell Wallach and Elizabeth Seger, director of the CASM digital policy research hub at Demos, discuss these questions and more in this Artificial Intelligence & Equality podcast.
For more from Seger, read her recent article on AI democratization: https://carnegiecouncil.co/aiei-seger
For more on this podcast, please go to: https://carnegiecouncil.co/aiei-podcast-seger
In this special episode of "Ethical Articles," Carnegie Ethics Fellow Christine Jakobson reads the article “Artifical Intelligence and Election Integrity in 2024,” written by herself together with Fellows Travis Gidado and Hinh Tran.
You can access the full projct here:...
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