From the course: AI Governance for Organizations: Applying ISO/IEC 38507:2022

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Sources of risks (Clause 6.7.4)

Sources of risks (Clause 6.7.4)

From the course: AI Governance for Organizations: Applying ISO/IEC 38507:2022

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Sources of risks (Clause 6.7.4)

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- [Instructor] You've probably heard it said about risk, that there are known unknowns, the things you know you don't know. For example, I know that I am going to use AI to support robotic decision-making in a driverless car. And the unknown unknowns, these are things that you don't know you don't even know. With newer technologies, there tends to be more unknown unknowns than known unknowns. This cautions the governing body to ensure that the monitoring of their AI system in production is sharply focused on visualizing emerging risk or key risk indicators. In this video, let's focus on the known risks, to which we may not know the extent to which they may expose us. Data sourcing has many risks associated with it. Besides imposing poorly sourced, inaccurate data on a training model, there's the threat of deliberate and malicious modification of training data. A major autonomous vehicle company in the US faced regulatory fines and millions of dollars in recall costs due to the…

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