Why AI Agents Need Identity, Ethics, and Oversight Frameworks

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As AI agents become increasingly autonomous, governance experts are raising concerns about how to properly identify and authenticate them, similar to how humans are verified. A key issue is access control — not every agent should have unrestricted access to all tools available on MCP servers. In some cases, agents also act on behalf of humans, particularly in personal productivity contexts, adding another layer of accountability. Proposed governance measures include establishing a code of business ethics for agents and regularly realigning their behavior to their original design. Continuous monitoring of agent behavior and routine assessment of the underlying large language models are also seen as essential safeguards.

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