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The transformative potential of artificial intelligence

Datos Bibliográficos

ID9844261
AutoresRoss Gruetzemacher (0000-0002-1475-7480, Wichita State University, autor de correspondencia), Jess Whittlestone (0000-0002-1252-718X, Leverhulme Trust)
Año2022
Volumen135
Páginas102884
Fecha de publicación2022-01-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFutures (JOURNAL)
Identificadores de la revistaISSN: 0016-3287 • E-ISSN: 1873-6378
EditorialElsevier BV (PUBLISHER)
DOI10.1016/j.futures.2021.102884
OpenAlexW3084632158
IdiomaEN
Citas recibidas37
Referencias citadas22

The terms ‘human-level artificial intelligence’ and ‘artificial general intelligence’ are widely used to refer to the possibility of advanced artificial intelligence (AI) with potentially extreme impacts on society. These terms are poorly defined and do not necessarily indicate what is most important with respect to future societal impacts. We suggest that the term ‘transformative AI’ is a helpful alternative, reflecting the possibility that advanced AI systems could have very large impacts on society without reaching human-level cognitive abilities. To be most useful, however, more analysis of what it means for AI to be ‘transformative’ is needed. In this paper, we propose three different levels on which AI might be said to be transformative, associated with different levels of societal change. We suggest that these distinctions would improve conversations between policy makers and decision makers concerning the mid- to long-term impacts of advances in AI. Further, we feel this would have a positive effect on strategic foresight efforts involving advanced AI, which we expect to illuminate paths to alternative futures. We conclude with a discussion of the benefits of our new framework and by highlighting directions for future work in this area

Epistemology · Political science · Sociology · Transformative learning · Artificial Intelligence · Computer Science · Economic and Technological Developments in Russia · Engineering Education and Technology · Innovation, Sustainability, Human-Machine Systems · Philosophy

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Obras citantes distintas37
Citas por año9,25
Intervalo de citas2022 - 2026 (5)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 37
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