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Training AI to be Loyal

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arxiv 2502.15720 v1 pith:M4BNUV4I submitted 2025-01-27 cs.CY cs.AIcs.CRcs.LG

classification cs.CYcs.AIcs.CRcs.LG
keywords communityloyalmodelsopenalignedownedsourceaccess
verification ladder T0 review T1 audit T2 compute T3 formal
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Loyal AI is loyal to the community that builds it. An AI is loyal to a community if the community has ownership, alignment, and control. Community owned models can only be used with the approval of the community and share the economic rewards communally. Community aligned models have values that are aligned with the consensus of the community. Community controlled models perform functions designed by the community. Since we would like permissionless access to the loyal AI's community, we need the AI to be open source. The key scientific question then is: how can we build models that are openly accessible (open source) and yet are owned and governed by the community. This seeming impossibility is the focus of this paper where we outline a concrete pathway to Open, Monetizable and Loyal models (OML), building on our earlier work on OML, arXiv:2411.03887(1) , and a representation via a cryptographic-ML library http://github.com/sentient-agi/oml-1.0-fingerprinting .

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. When Incentives Backfire, Data Stops Being Human

    cs.CY 2025-02 conditional novelty 6.0 of 10

    Incentive-driven crowdwork erodes intrinsic motivation and data quality, so data collection should be redesigned around intrinsic motivation, with games as a promising template.

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