How agentic AI can be applied to behavioural science

Krpan, Dario ORCID: 0000-0002-3420-4672, Sayess, Dima, Koaik, Fatima, Philippe Farajalla, George, Shrestha, Pujen and Schnider, Robin (2025) How agentic AI can be applied to behavioural science. LSE Business Review (04 Mar 2025). Blog Entry.

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Abstract

Traditional AI models have been extensively studied for their influence on human behaviour. But agentic AI remains largely unexplored in behavioural science. Dario Krpan, Dima Sayess, Fatima Koaik, George Philippe Farajalla, Pujen Shrestha and Robin Schnider discuss the concept of agentic AI and explore the risks and opportunities of its responsible integration into behavioural science.

Item Type:	Online resource (Blog Entry)
Official URL:	https://blogs.lse.ac.uk/businessreview/
Additional Information:	© 2025 The Author(s)
Divisions:	Psychological and Behavioural Science
Subjects:	Q Science > Q Science (General) B Philosophy. Psychology. Religion > BF Psychology H Social Sciences > HD Industries. Land use. Labor
Date Deposited:	15 Apr 2025 09:21
Last Modified:	01 May 2025 03:06
URI:	http://eprints.lse.ac.uk/id/eprint/127902

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