From the course: Building Trustworthy AI Systems: Transparency, Explainability, and Control with ISO/IEC TR 24028

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Use and applicability (Clauses 9.11-9.11.4)

Use and applicability (Clauses 9.11-9.11.4)

From the course: Building Trustworthy AI Systems: Transparency, Explainability, and Control with ISO/IEC TR 24028

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Use and applicability (Clauses 9.11-9.11.4)

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- [Presenter] Although we are in the age of narrow AI, there are times when it seems like an AI application can pass the Turing test, where you cannot distinguish the system from a human. This can have a profound impact and influence on users, which is both positive and potentially negative at the same time. To maintain trust, any AI system released into society should be fully compliant with the laws, regulations, standards of the industry and ethical norms that are demanded. In this video, I will describe the major areas of concern when using AI to maintain trustworthiness. An organization's AI deployment is never a case of setting it and forgetting it. Trust is upheld when the organization actively and continuously manages users' expectation. This means clearly communicating the limitation and capabilities of what the AI system was designed to do and not do. Comprehensive product labeling is an essential implementation of expectation management. Labels, whether digital or physical,…

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