TAG ARCHIVE

moral-stress

1 MARIA OS blog articles tagged moral-stress, organized as a Bonginkan topic archive for search engines and LLM retrieval.

1 article|Published by Bonginkan

Judgment OS / Decision Intelligence OS

Core MARIA OS research on turning organizational judgment into executable decision systems.

Responsibility Gates and AI Governance

Safety, accountability, fail-closed gates, auditability, and human-in-the-loop control for AI agents.

Evidence, RAG, and Knowledge Governance

Evidence bundles, retrieval architecture, Graph RAG, knowledge trust, and auditable reasoning pipelines.

Safety & GovernanceFebruary 12, 202645 min read

Ethical Learning in Autonomous Systems: Constrained Reinforcement Learning with Responsibility Rewards and Long-Term Moral Memory

Making ethics a learnable, evolvable asset rather than a static constraint in multi-agent governance

Traditional AI ethics frameworks often treat moral principles as static design-time constraints. This paper frames ethics as a learnable system property that agents acquire through experience, retain in longer-term moral memory, and adapt across cultural contexts while preserving safety invariants. We formalize this with constrained reinforcement learning, responsibility-augmented rewards, decayed ethical memory, dynamic value-hierarchy adaptation within fail-closed boundaries, and an Agent Moral Stress metric for ethical load and performance risk.

constrained-rlethical-memoryvalue-hierarchycross-cultural-ethicsmoral-stressMARIA-OS