Which term describes the senior leader role such as CIO, CTO, or CDO in AI governance?

Prepare for the AI Governance Exam in AAISM Domain 1. Study with flashcards and multiple-choice questions, each question features hints and explanations. Get ready for your exam!

Multiple Choice

Which term describes the senior leader role such as CIO, CTO, or CDO in AI governance?

Explanation:
In AI governance, the leadership role that oversees the governance body and steers policy, risk, and strategy is described as the chairperson. This person leads meetings, sets the agenda, ensures accountability, and represents the governance group to executives and the board, coordinating how AI efforts align with organizational goals. While senior technical leaders like CIOs, CTOs, or CDOs are crucial members who shape technology and data directions, the term that captures the overarching leadership function guiding the governance process itself is chairperson. Explainability in AI refers to making AI decisions understandable, a technical objective rather than a leadership role. Data validation/cleaning and anomaly detection mechanisms are about data quality and monitoring practices. Red teaming in AI is a security testing activity. None of these describe the role of leading the AI governance framework, which is why chairperson is the best fit.

In AI governance, the leadership role that oversees the governance body and steers policy, risk, and strategy is described as the chairperson. This person leads meetings, sets the agenda, ensures accountability, and represents the governance group to executives and the board, coordinating how AI efforts align with organizational goals. While senior technical leaders like CIOs, CTOs, or CDOs are crucial members who shape technology and data directions, the term that captures the overarching leadership function guiding the governance process itself is chairperson.

Explainability in AI refers to making AI decisions understandable, a technical objective rather than a leadership role. Data validation/cleaning and anomaly detection mechanisms are about data quality and monitoring practices. Red teaming in AI is a security testing activity. None of these describe the role of leading the AI governance framework, which is why chairperson is the best fit.

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