The keynote speech by Vint Cerf addresses the arrival of large-scale language models such as GPT-3 and the risks associated with the use of machine learning. Cerf notes that machine learning is a narrower kind of intelligence that uses multi-layer neural networks, which were previously discounted in the 1960s as inadequate. However, over the last decade or so, they have become extremely powerful in their functionality. Cerf points out that there are risks associated with the use of machine learning, and these risks can be categorized similarly to the risks associated with self-driving cars. Cerf suggests that low-risk applications of machine learning include making suggestions to users, while high-risk applications include medical diagnosis and automated surgery. Cerf notes that one of the challenges associated with machine learning is the inability to predict or anticipate how the system might go off the rails.
https://pollev.com/slade You may also download the app to your phone. Use the "slade" poll id.
See also.
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See also Goal-based Decision Making. Stephen Slade. Hardcover: 304 pages. Publisher: Psychology Press (October 1, 1993). It is also available at the Yale Bookstore. Online copy through Yale library Online copy of thesis from which book was derived at Yale Library
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