Unsocial Intelligence: an Investigation of the Assumptions of AGI Discourse

• URL: http://arxiv.org/abs/2401.13142v4
• Date: Thu, 25 Jul 2024 19:28:46 GMT
• Title: Unsocial Intelligence: an Investigation of the Assumptions of AGI Discourse
• Authors: Borhane Blili-Hamelin, Leif Hancox-Li, Andrew Smart,
• Abstract summary: We argue that the meaning of human-level AI or artificial general intelligence (AGI) remains elusive and contested. We provide a taxonomy of AGI definitions, laying the ground for examining the key social, political, and ethical assumptions they make. We propose contextual, democratic, and participatory paths to imagining future forms of machine intelligence.
• Score: 1.9506923346234724
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Dreams of machines rivaling human intelligence have shaped the field of AI since its inception. Yet, the very meaning of human-level AI or artificial general intelligence (AGI) remains elusive and contested. Definitions of AGI embrace a diverse range of incompatible values and assumptions. Contending with the fractured worldviews of AGI discourse is vital for critiques that pursue different values and futures. To that end, we provide a taxonomy of AGI definitions, laying the ground for examining the key social, political, and ethical assumptions they make. We highlight instances in which these definitions frame AGI or human-level AI as a technical topic and expose the value-laden choices being implicitly made. Drawing on feminist, STS, and social science scholarship on the political and social character of intelligence in both humans and machines, we propose contextual, democratic, and participatory paths to imagining future forms of machine intelligence. The development of future forms of AI must involve explicit attention to the values it encodes, the people it includes or excludes, and a commitment to epistemic justice.

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