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Collective intelligence is needed to ensure beneficial Artificial Intelligence

Lahlou, Saadi ORCID: 0000-0001-8114-7271, Las Casas, Estevam, Bouin, Olivier, Boucekkine, Raouf, Rabinovici, Eliezer, Candiotto, Laura, Copeland, Jack, Cunha, Evandro, Di Luca, Massimiliano, Frassinelli, Diego, Fried, Itzhak, Fujita, Andre, Fukuda, Toshio, Growiec, Jakub, Guedj, Benjamin, Kasturi, Suranga, Kellmeyer, Phillip, Livermore, Michael, Mézard, Marc, Moodley, Deshen, Nowotny, Helga, Paré, Zaven, Plonski, Ary Guilherme, Rabinowitch, Ithai, Ralitera, Talina, Rees, Martin, Shagrir, Oron, De Soarez, Patricia, Taylor, Henry, Wevers, Melvin and Yasutomo, Kawanishi (2023) Collective intelligence is needed to ensure beneficial Artificial Intelligence. Proceedings of the Paris Institute for Advanced Study. ISSN 2826-2832

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Identification Number: 10.5281/zenodo.13588573

Abstract

The fourth Intercontinental Academia (ICA4) “Intelligence and artificial intelligence” (2020-2021) identified four thematic priorities for future AI research: (1) developing an ontology of AI systems to assess their agency in performing cognitive and behavioural tasks; (2) addressing the challenges of human-artificial agent interaction (H2AI); (3) clarifying the values used by artificial agents and determine their legal status in society; and (4) regulating artificial intelligent agents (AIAs) with appropriate certifications to safeguard human agency and well-being. These priorities require research programmes and funding schemes that involve scientists with complementary perspectives and methodological approaches (neuroscience, computer science, mathematics, engineering, humanities and social sciences).

Item Type: Article
Official URL: https://paris.pias.science/article/collective-inte...
Additional Information: © 2024 The Author(s)
Divisions: Psychological and Behavioural Science
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
B Philosophy. Psychology. Religion > BF Psychology
Date Deposited: 20 Nov 2024 17:36
Last Modified: 20 Nov 2024 17:42
URI: http://eprints.lse.ac.uk/id/eprint/126114

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