AI agents are making real decisions in real workflows. When they get it wrong, and they will, who is accountable?

This talk introduces Agent-Human Interaction protocol, a practical framework to standardise how AI agents and humans collaborate and share accountability.

We will explore:
How the effective use of AI agents requires humans and AI working together as a team.
How mistakes can be avoided by enabling an effective Agent Human interaction and the ability to track the accountability of AI actions to the responsible human.
How an effective Agent Human interaction must acknowledge the human factors (e.g. decision fatigue) in usability and security as NIST recommends.

With examples, we will discuss how Agent Human Interaction protocol can standardize the smooth and transparent interactions between agents and human stakeholders.

This talk opens up a dialogue to collectively drive accountability, clarity, and trust in agent–human collaboration.