Machine Culture

• URL: http://arxiv.org/abs/2311.11388v2
• Date: Wed, 22 Nov 2023 08:15:13 GMT
• Title: Machine Culture
• Authors: Levin Brinkmann, Fabian Baumann, Jean-Fran\c{c}ois Bonnefon, Maxime Derex, Thomas F. M\"uller, Anne-Marie Nussberger, Agnieszka Czaplicka, Alberto Acerbi, Thomas L. Griffiths, Joseph Henrich, Joel Z. Leibo, Richard McElreath, Pierre-Yves Oudeyer, Jonathan Stray and Iyad Rahwan
• Abstract summary: We argue that intelligent machines simultaneously transform the cultural processes of variation, transmission, and selection. We provide a conceptual framework for the present and anticipated future impact of machines on cultural evolution.
• Score: 15.122174007266874
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: The ability of humans to create and disseminate culture is often credited as the single most important factor of our success as a species. In this Perspective, we explore the notion of machine culture, culture mediated or generated by machines. We argue that intelligent machines simultaneously transform the cultural evolutionary processes of variation, transmission, and selection. Recommender algorithms are altering social learning dynamics. Chatbots are forming a new mode of cultural transmission, serving as cultural models. Furthermore, intelligent machines are evolving as contributors in generating cultural traits--from game strategies and visual art to scientific results. We provide a conceptual framework for studying the present and anticipated future impact of machines on cultural evolution, and present a research agenda for the study of machine culture.

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