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Beyond artificial intelligence: exploring artificial wisdom.
Jeste, Dilip V; Graham, Sarah A; Nguyen, Tanya T; Depp, Colin A; Lee, Ellen E; Kim, Ho-Cheol.
Afiliación
  • Jeste DV; Department of Psychiatry, University of California San Diego, La Jolla, CA, USA.
  • Graham SA; Sam and Rose Stein Institute for Research on Aging, University of California San Diego, La Jolla, CA, USA.
  • Nguyen TT; Department of Neurosciences, University of California San Diego, La Jolla, CA, USA.
  • Depp CA; Department of Psychiatry, University of California San Diego, La Jolla, CA, USA.
  • Lee EE; Sam and Rose Stein Institute for Research on Aging, University of California San Diego, La Jolla, CA, USA.
  • Kim HC; Department of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Int Psychogeriatr ; 32(8): 993-1001, 2020 08.
Article en En | MEDLINE | ID: mdl-32583762
BACKGROUND: The ultimate goal of artificial intelligence (AI) is to develop technologies that are best able to serve humanity. This will require advancements that go beyond the basic components of general intelligence. The term "intelligence" does not best represent the technological needs of advancing society, because it is "wisdom", rather than intelligence, that is associated with greater well-being, happiness, health, and perhaps even longevity of the individual and the society. Thus, the future need in technology is for artificial wisdom (AW). METHODS: We examine the constructs of human intelligence and human wisdom in terms of their basic components, neurobiology, and relationship to aging, based on published empirical literature. We review the development of AI as inspired and driven by the model of human intelligence, and consider possible governing principles for AW that would enable humans to develop computers which can operationally utilize wise principles and result in wise acts. We review relevant examples of current efforts to develop such wise technologies. RESULTS: AW systems will be based on developmental models of the neurobiology of human wisdom. These AW systems need to be able to a) learn from experience and self-correct; b) exhibit compassionate, unbiased, and ethical behaviors; and c) discern human emotions and help the human users to regulate their emotions and make wise decisions. CONCLUSIONS: A close collaboration among computer scientists, neuroscientists, mental health experts, and ethicists is necessary for developing AW technologies, which will emulate the qualities of wise humans and thus serve the greatest benefit to humanity. Just as human intelligence and AI have helped further the understanding and usefulness of each other, human wisdom and AW can aid in promoting each other's growth.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Envejecimiento / Inteligencia Artificial / Inteligencia Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Int Psychogeriatr Asunto de la revista: GERIATRIA / PSIQUIATRIA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Envejecimiento / Inteligencia Artificial / Inteligencia Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Int Psychogeriatr Asunto de la revista: GERIATRIA / PSIQUIATRIA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos