arXiv:2402.06359v2 Announce Type: replace Abstract: One of today's most pressing societal challenges is building AI systems whose behaviour, or the behaviour it enables within communities of interacting human and artificial agents, aligns with relevant human values. To address this challenge, we propose a formal computational framework for representing human values that provides the foundational structures required for value-aware reasoning in multi-agent systems. To our knowledge, this has not been attempted as yet, which is surprising given the growing volume of research integrating human va
The increasing sophistication and integration of AI systems into societal structures necessitate a formal approach to align AI behavior with human values, a challenge becoming critical as AI deployment accelerates.
This research provides a foundational framework for robustly embedding human values into multi-agent AI systems, addressing fundamental ethical and safety concerns for future AI governance and development.
The development of a formal computational framework for representing human values shifts the conversation from abstract ethical considerations to concrete, implementable methods for value-aware AI.
- · AI developers
- · Ethicists and philosophers
- · Regulatory bodies
- · Societies interacting with AI
- · AI systems lacking value alignment
- · Organizations deploying unethical AI
AI systems will be able to reason about and align with human values in more complex interactions.
This foundational work could lead to more trustworthy and socially integrated AI, accelerating adoption in sensitive sectors.
Formal value representation could become a standard requirement for AI deployment, fostering an 'ethical by design' paradigm across the industry.
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Read at arXiv cs.AI