Altruistic collective intelligence for the betterment of artificial intelligence
Version
Published
Identifiers
10.4324/9781003468615-25
Date Issued
2024
Author(s)
Maillart, Thomas
University of Geneva
Bern University of Applied Sciences
Sharada, Mohanty
AIcrowd
Chakraborty, Dipam
AIcrowd
Nanavati, Sneha
AIcrowd
Editor(s)
Ugazio, Giuseppe
Maricic, Milos
Type
Book Chapter
Language
English
Abstract
This chapter explores the potential of altruistic collective intelligence (CI) in advancing artificial intelligence (AI) technologies. It emphasizes the interplay of cooperation and competition – coopetition – in fostering CI among developers. Drawing empirical evidence from AIcrowd, a platform that leverages community-based development, the study illustrates how a risky “trial-and-fail” strategy can drive AI innovation through peer production. It highlights how diversity of perspectives enhances development, suggesting that CI contributes to more ethical and robust AI systems. This approach democratizes AI development and integrates a strong culture of altruism, encouraging sharing and transparency. The findings suggest that altruistic CI could reshape the future of AI, making it more inclusive, innovative, and ethically grounded.
Subjects
H Social Sciences
T Technology
Publisher DOI
Related URL
Organization
Project(s)
Artificial Intelligence and Philanthropy
Citation
Maillart, T., Gomez, L., Sharada, M., Chakraborty, D., & Nanavati, S. (2024). Altruistic collective intelligence for the betterment of artificial intelligence. In The Routledge Handbook of Artificial Intelligence and Philanthropy (pp. 344-360). Routledge.
Publisher
Taylor & Francis
Submitter
Gomez Teijeiro, Lucia
Citation apa
Maillart, T., Gomez Teijeiro, L., Sharada, M., Chakraborty, D., & Nanavati, S. (2024). Altruistic collective intelligence for the betterment of artificial intelligence (G. Ugazio & M. Maricic, Eds.). Taylor & Francis. https://doi.org/10.24451/dspace/11842
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