Unsocial Intelligence: an Investigation of the Assumptions of AGI Discourse
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Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 23 Jan 2024.
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Citing papers per year: 2025: 3; 2026: 2.
5 papers.
- 2025Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigorcited by 7
- 2026Reckoning with the Political Economy of AI: Avoiding Decoys in Pursuit of Accountabilitycited by 1
- 2025From Mimicry to True Intelligence (TI) -- A New Paradigm for Artificial General Intelligencecited by 0
- 2025On the Measure of a Model: From Intelligence to Generalitycited by 0
- 2026Definitional alignment before capability alignment: a Design-Science framework for adjudicating claims about AGIcited by 0
- 2026Definitional alignment before capability alignment: a Design-Science framework for adjudicating claims about AGI10 Jun 2026
- 2026Reckoning with the Political Economy of AI: Avoiding Decoys in Pursuit of Accountability17 Apr 2026
- 2025On the Measure of a Model: From Intelligence to Generality14 Nov 2025
- 2025From Mimicry to True Intelligence (TI) -- A New Paradigm for Artificial General Intelligence17 Sep 2025
- 2025Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor17 Jun 2025