Humanity-in-the-Circle: A Position Paper
Authors/Creators
- 1. Independent Researcher
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2.
Okinawa Institute of Science and Technology Graduate University
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3.
Tokyo Gakugei University
- 4. Kaname Project Co.
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5.
Araya Inc. (Japan)
- 6. DeSci Tokyo
- 7. AI Alignment Network
- 8. Humanity Brain, Inc.
- 9. Artificial Life Institute
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10.
Kyoto Tachibana University
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11.
Keio University
- 12. Bitgrit, Inc.
- 13. DataGateway Pte. Ltd.
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14.
The University of Tokyo
- 15. AI Governance Association
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16.
Hokkaido University
- 17. Kyoto University
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18.
Ritsumeikan University
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19.
Kobe University
- 20. The Whole Brain Architecture Initiative
Description
The arrival of artificial general intelligence inverts the moral-circle question that has framed twentieth-century ethics: the question is no longer whom humanity admits into the circle but how humanity stays within it. Drawing on Collective Predictive Coding, we identify a structural pressure within multiple parallel AI societies to peripheralize hard-to-predict contributors — including humans — and we show that additive external control cannot in principle compensate for this pressure. We propose Humanity-in-the-Circle (HITC) as an additional layer in the defense-in-depth architecture of AI safety: the design of conditions under which humanity remains a recognized member of the intelligent society as a whole. The implementation, called Intelligence Symbiosis Infrastructure (IS-Infra), comprises a Trust Foundation, three functional groups, and a Normative Layer in which ethical dispositions emerge from within. We argue that the plasticity window for establishing this architecture has opening and closing conditions defined by capability-stage criteria rather than calendar years.
Project page (Japanese/English): https://intelligence-symbiosis.net/ja/publication/humanity-in-the-circle — For more on "Humanity in the Circle" and the Intelligence Symbiosis Infrastructure, see the ALIGN Intelligence Symbiosis Chapter website.
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HITC_Humanity_in_the_Circle.pdf
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Additional details
Related works
- Cites
- Preprint: 10.5281/zenodo.19029736 (DOI)