Related papers: Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence

Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence

URL: http://arxiv.org/abs/2211.06318v1
Date: Mon, 31 Oct 2022 18:35:36 GMT
Title: Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence
Authors: Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram Kalyanakrishnan, Ece Kamar, Sarit Kraus, Kevin Leyton-Brown, David Parkes, William Press, AnnaLee Saxenian, Julie Shah, Milind Tambe, Astro Teller
Abstract summary: The report examines eight domains of typical urban settings on which AI is likely to have impact over the coming years. It aims to provide the general public with a scientifically and technologically accurate portrayal of the current state of AI. The charge for this report was given to the panel by the AI100 Standing Committee, chaired by Barbara Grosz of Harvard University.
Score: 74.2630823914258
License: http://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract: In September 2016, Stanford's "One Hundred Year Study on Artificial Intelligence" project (AI100) issued the first report of its planned long-term periodic assessment of artificial intelligence (AI) and its impact on society. It was written by a panel of 17 study authors, each of whom is deeply rooted in AI research, chaired by Peter Stone of the University of Texas at Austin. The report, entitled "Artificial Intelligence and Life in 2030," examines eight domains of typical urban settings on which AI is likely to have impact over the coming years: transportation, home and service robots, healthcare, education, public safety and security, low-resource communities, employment and workplace, and entertainment. It aims to provide the general public with a scientifically and technologically accurate portrayal of the current state of AI and its potential and to help guide decisions in industry and governments, as well as to inform research and development in the field. The charge for this report was given to the panel by the AI100 Standing Committee, chaired by Barbara Grosz of Harvard University.

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