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Evaluate and update those existing policies so they: Which approach best reflects sound governance as it

AIGP Understanding the Foundations of AI Governance Medium

Existing privacy, security, data governance, and IP policies should be evaluated and updated for AI, not scrapped or left static.

The question

Before adopting AI, a company already has mature data privacy, security, data governance, and intellectual property policies. Which approach best reflects sound governance as it introduces AI?

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  1. Discard all existing policies and replace them with an entirely separate, standalone AI policy rulebook.
    Plausible but wrong: existing policies should be extended, not wholesale discarded, to avoid gaps and duplication.
  2. Leave the existing policies completely unchanged, since AI introduces no new data or IP concerns.
    Plausible but wrong: AI raises new data-use and IP questions that current policies may not cover.
  3. Evaluate and update those existing policies so they address AI-specific data, model and IP issues. ✓
    Correct: AIGP calls for evaluating and updating existing policies (privacy, security, data governance, IP) for AI rather than starting over or ignoring them.
  4. Apply the intellectual property policy only, treating privacy and security as out of AI scope.
    Plausible but wrong: privacy and security remain directly relevant to AI data handling and cannot be excluded.
The trap
Assuming AI adoption requires either a brand-new standalone rulebook or no changes at all to existing policies.

How to remember it

Existing privacy, security, data governance, and IP policies should be evaluated and updated for AI, not scrapped or left static.

How many of these would you get right?

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More Understanding the Foundations of AI Governance questions

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