Because AI risks span legal: Why does effective AI governance | AIGP
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Because AI risks span legal: Why does effective AI governance typically require collaboration across multiple

AIGP Understanding the Foundations of AI Governance Easy

AI risks span legal, technical, ethical, and operational domains, so multiple functions must collaborate to cover them all.

The question

Why does effective AI governance typically require collaboration across multiple functions such as legal, security, data science, and business units?

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  1. Because regulators require that every individual employee personally sign off on each AI model before it can be placed into production.
    Incorrect; no such universal sign-off rule exists, and it misstates why collaboration is valuable.
  2. Because AI risks span legal, technical, ethical, and operational domains that no single function has the full expertise to address alone. ✓
    Correct. AI risks cut across disciplines, so diverse functions are needed to see and manage them fully.
  3. Because involving more functions is mainly a way to slow AI projects down so that leadership has additional time to reconsider them.
    Incorrect; collaboration aims to improve risk coverage, not to deliberately delay projects.
  4. Because the legal team alone possesses all the necessary expertise and simply needs the other functions to formally endorse its decisions.
    Incorrect; the premise of cross-functional work is that no single function, including legal, holds all needed expertise.
The trap
Assuming one function (often legal) has all the answers, rather than recognizing AI risk is inherently multidisciplinary.

How to remember it

AI risks span legal, technical, ethical, and operational domains, so multiple functions must collaborate to cover them all.

How many of these would you get right?

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Part of the Certsqill AIGP question bank · Understanding the Foundations of AI Governance · Every answer, right and wrong, comes with its own explanation.