Risk, Responsibility & Trusted AI in Zero-Tolerance Environments
The panel rejected “zero tolerance” as a deployable AI standard, arguing that high-stakes domains should minimize, govern, and intelligently absorb risk rather than pretend it disappears. Speakers emphasized guardrails, backtesting, early deviation signals, board-level questioning, and transparent sharing of failed experiments as the path to trusted AI in insurance, fraud, healthcare, and defense.
trusted-aiai-governancerisk-management+3 other speakers