MoralityGym: A Benchmark for Evaluating Hierarchical Moral Alignment in Sequential Decision-Making Agents
arXiv:2602.13372v2 Announce Type: replace-cross Abstract: Evaluating moral alignment in agents navigating conflicting, hierarchically structured human norms is a critical challenge at the intersection of AI safety, moral philosophy, and cognitive science. We introduce Morality Chains, a novel formalism for representing moral norms as ordered deontic constraints, and MoralityGym, a benchmark of 98 ethical-dilemma problems presented as trolley-dilemma-style Gymnasium environments. By decoupling task-solving from moral evaluation and introducing a novel Morality Metric, MoralityGym allows the int
As AI models become more autonomous and integrated into critical decision-making, the need for robust ethical alignment frameworks is becoming paramount, moving from theoretical discussion to practical implementation.
Evaluating and embedding hierarchical moral norms into AI agents is crucial for preventing unintended consequences, ensuring societal trust, and navigating complex ethical dilemmas as AI systems become more ubiquitous.
The introduction of formalisms like Morality Chains and benchmarks like MoralityGym provides concrete tools and methodologies for assessing and improving the ethical behavior of AI, moving beyond ad-hoc approaches.
- · AI safety researchers
- · Developers of socially responsible AI
- · Ethical AI consulting firms
- · Developers neglecting ethical alignment
- · Platforms lacking robust AI governance
- · AI systems failing to adhere to societal norms
AI developers will begin integrating MoralityGym or similar benchmarks into their development pipelines to test and improve ethical alignment.
Public and regulatory bodies will increasingly demand evidence of moral alignment testing for high-consequence AI systems, leading to new certification standards.
The concept of 'moral licensing' for AI will emerge, where systems are granted operational scope based on their proven ethical consistency, profoundly influencing market access and deployment strategies.
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