Timothy Hanson
Seminars
Tuesday 21st July 2026
Workshop C: Systems-thinking Simulation Exercise: How Much Autonomy Is Too Much? Designing Agentic AI for Regulated Medical Software
2:00 pm
A collaborative simulation where participants design and test autonomous AI agents, exploring how goals, constraints, and decision making logic shape system behavior.
- Teams confront a realistic scenario where an autonomous AI agent can write code, review PRs, run tests, and respond to cyber threats, forcing them to decide what actions they’re truly comfortable delegating
- Participants break into governance style groups (engineering, V&V, regulatory, cybersecurity, and patient safety) to define guardrails around autonomy, validation, documentation, risk, and oversight across the SDLC
- Live “curveballs” expose failure modes and challenge assumptions, culminating in a cross-discipline debate on what to allow, forbid, or reconsider, revealing blind spots and making agentic AI risks tangible
- Decide whether autonomous AI agents are advantageous in comparison to classic AI/ML models (such as Co-pilot)
Closing Question: In 5 years, which of today’s ‘absolutely not’ decisions will sound overly cautious?
