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Technology Assessment Project

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News

STPP research on AI highlighted in Nature Q&A

May 3, 2022
Ford School professor Shobita Parthasarathy was highlighted in a Q&A with Nature magazine, acknowledging recent research on Large Language Models (LLMs) by the Science, Technology, and Public Policy program's Technology Assessment Project. Parthasara...
Publication

Parthasarathy comments on regulation of biometric technologies

Jan 17, 2022
In October 2021, the White House Office of Science and Technology Policy (OSTP) put out a request for public comment on the use and regulation of AI-enabled biometric technologies, including facial recognition. OSTP invited comment on a wide range of...
News

STPP wins grant to explore Large Language Models  

Jun 11, 2021
Large Language Models (LLM) — machine learning algorithms that can recognize, predict, and  generate human languages on the basis of very large text-based data sets — have captured the imagination of scientists, entrepreneurs, and tech-watchers. Whil...
Research Report

What’s in the Chatterbox? Large Language Models, Why They Matter, and What We Should Do About Them

April 20, 2022
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Johanna Okerlund, Evan Klasky, Aditya Middha, Sujin Kim, Hannah Rosenfeld, Molly Kleinman, Shobita Parthasarathy
Large language models (LLMs)—machine learning algorithms that can recognize, summarize, translate, predict, and generate human languages on the basis of very large text-based datasets—are likely to provide the most convincing computer-generated imita...