How much autonomy do you give autonomous agents?

How much autonomy is too much when orchestrating a fleet of AI agents? Does that autonomy vary by use case? By users? By environment? How can you build agentic trust across your software delivery lifecycle?

This expert panel will dive into both the research and practice behind how engineering leaders determine how much autonomy they’re giving agentic AI — and where a human in the loop is required.

This discussion among engineering leaders will include:

• Define the conditions under which AI autonomy can be extended – and what triggers a rollback of that trust
• Maintain accountability and traceability when AI is an active participant across the development lifecycle
• Build a consistent trust framework that scales across teams and tools as AI capability keeps shifting