mlsanityData to 7 Oct 2026

Training AI to be Loyal

arXiv 2502.15720 ↗First posted 27 Jan 2025cs.CY cs.AI cs.CRcited by 1

Not on the map. Why?

Abstract (arXiv)

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 .

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 7 of its 7 references that are in the map. First posted on arXiv 27 Jan 2025.

Builds on

7 of 7 references.

References · 7

  1. 2023GPT-4 Technical Reportcited by 18,132
  2. 2017Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networkscited by 4,861
  3. 2024Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preferencecited by 1,151
  4. 2023A Watermark for Large Language Modelscited by 667
  5. 2024On Evaluating the Durability of Safeguards for Open-Weight LLMscited by 51
  6. 2024Hey, That's My Model! Introducing Chain & Hash, An LLM Fingerprinting Techniquecited by 34
  7. 2024OML: A Primitive for Reconciling Open Access with Owner Control in AI Model Distributioncited by 1

Built on by

Cited by year

Citing papers per year: 2025: 1.

1 paper.