TY - GEN
T1 - Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence.
AU - Stone, Peter
AU - Brooks, Rodney
AU - Brynjolfsson, Erik
AU - Calo, Ryan
AU - Etzioni, Oren
AU - Hager, Greg
AU - Hirschberg, Julia
AU - Kalyanakrishnan, Shivaram
AU - Kamar, Ece
AU - Kraus, Sarit
AU - Leyton-Brown, Kevin
AU - Parkes, David C.
AU - Press, William H.
AU - Saxenian, AnnaLee
AU - Shah, Julie
AU - Tambe, Milind
AU - Teller, Astro
N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
U2 - 10.48550/ARXIV.2211.06318
DO - 10.48550/ARXIV.2211.06318
M3 - ???researchoutput.researchoutputtypes.othercontribution.other???
VL - abs/2211.06318
PB - Cornell University Library, arXiv.org
ER -