Clear Accountability When AI Enters Safety-Critical Systems.
Putting AI and automation into hazardous environments raises new questions about who is accountable, what the regulator will expect and where control sits.
The problem
Autonomous systems and AI can affect decisions in hazardous environments. Leaders need a clear view of how a system is used, which decisions remain under human control, and what information supports deployment.
How I Help
I diagnose where putting AI into a control or monitoring loop is straining your programme.
- Strategy: clear recommendations on who should own which decisions and what to deal with first
- Capability: I work with your leads as accountability for automated decisions is set up
- Execution: deployment decisions brought forward and challenged before you commit to them
Independent, proportionate and evidence-led.
Sector cluster: Next-Generation Frontiers
Ready to Get Started?
See how DueTelligence can support your safety-critical engineering programmes.
Talk to an Assurance Specialist