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Prismal view of ethics

arXiv 2205.13370 ↗First posted 26 May 2022cs.CY cs.AI cs.GTcited by 0

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Abstract (arXiv)

We shall have a hard look at ethics and try to extract insights in the form of abstract properties that might become tools. We want to connect ethics to games, talk about the performance of ethics, introduce curiosity into the interplay between competing and coordinating in well-performing ethics, and offer a view of possible developments that could unify increasing aggregates of entities. All this is under a long shadow cast by computational complexity that is quite negative about games. This analysis is the first step toward finding modeling aspects that might be used in AI ethics for integrating modern AI systems into human society.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 13 of its 109 references that are in the map. First posted on arXiv 26 May 2022.

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13 of 109 references.

References · 13

  1. 2022A Generalist Agentcited by 802
  2. 2016Inherent Trade-Offs in the Fair Determination of Risk Scorescited by 582
  3. 2020Game-Theoretic Multiagent Reinforcement Learningcited by 92
  4. 2021Mathematical foundations of moral preferencescited by 15
  5. 2021Social physicscited by 14
  6. 2021Impossibility Results in AI: A Surveycited by 13
  7. 2022Dynamics on higher-order networks: A reviewcited by 11
  8. 2022Explainability in reinforcement learning: perspective and positioncited by 11
  9. 2020AI safety: state of the field through quantitative lenscited by 9
  10. 2020WES: Agent-based User Interaction Simulation on Real Infrastructurecited by 8
  11. 2018Grand challenges in social physics: In pursuit of moral behaviorcited by 3
  12. 2013Towards a living earth simulatorcited by 1
1 more
  1. 2014Solving Weighted Constraint Satisfaction Problems with Memetic/Exact Hybrid Algorithmscited by 1

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