AI Agents Need Consent: IBM Explains Agentic Consent
AI Agents Need Consent: IBM Explains Agentic Consent
Publish Date: 2026-05-10 08:01:00
Source Domain: www.startuphub.ai
- Autonomy in AI Agents: AI agents’ ability to act autonomously necessitates the introduction of robust consent mechanisms beyond traditional models to ensure safety and responsibility.
- Agentic Consent Explained: AI agents execute actions rather than generating output, requiring a new approach to consent that specifies action parameters, scope, and lifetime of delegation.
- Types of Consent: Miller distinguishes between expressed consent, explicitly given by users, and implied consent, which can be inferred from user actions or circumstances.
- Traditional Consent Limitations: Static IT consent mechanisms are inadequate for the dynamic nature of AI agents which can learn and adapt autonomously, necessitating context-aware, dynamic consent management.
- Key Pillars of Agentic Consent: Miller outlines three pillars—transparency, revocability, and personalization—to effectively manage agentic consent and ensure safety and trust in AI systems.
- Implementation of Agentic Consent: The new approach emphasizes a granular, context-aware consent granting process, wherein agents operate under specific, explicitly given permissions.
