Research path
Governance, accountability and human-AI responsibility
How to design responsibility in systems where humans, models, data and processes participate in decisions.
AI Governance5 min
AI governance should clarify responsibility, validation and autonomy limits without blocking useful adoption.
Fragmented accountability
When AI participates in decisions, responsibility can dilute between who requested, configured, interpreted and approved.
Governance exists to make this chain explicit.
Responsible AI requires designed human responsibility.
AI-Human responsibility
Responsibility should not be displaced onto the model. It should be distributed across human roles, criteria, logs, validation and autonomy limits.
Practical governance
Good governance creates confidence to use AI better. It defines allowed data, sensitive tasks, validation points and escalation procedures.