Organizations rolled out AI fast and missed the risks: discriminatory pricing, hallucinating assistants, vendor model shifts, and data leaks revealed how AI failures cut across fairness, performance, security, operations, and strategy. This episode stitches those failures together into a usable map so leaders can spot the harms before they scale.

Guests outline a five-stage risk cycle, identify, assess, mitigate, monitor, respond, backed by inventories, monitoring, vendor resilience, and human-centered governance. Practical takeaways: put AI on the enterprise risk register, build an AI inventory, assess who could be harmed, and run resilience tests to keep AI valuable over time.

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