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ISACAAdvanced in AI Risk

Domain 1Objective 6

AI Trustworthiness, Ethical and Societal Implications (e.g., ESG) AAIR Practice Questions (Page 2)

Part of the AI Risk Governance and Framework Integration domain, which accounts for 37% of the AAIR exam.

17questions here
4free pages
5concepts
37%of the exam

Questions 6–10

  1. 6application · medium

    An agricultural technology company has developed an AI system that uses drone imagery to optimize pesticide application, reducing chemical use by 20%. However, the system requires high-resolution imagery that is expensive to obtain, potentially favoring large farms over small family farms. The company's leadership is reviewing the societal impact. Which of the following is the most significant societal concern?

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  2. 7foundation · easy

    Which of the following is an example of a societal implication of an AI system?

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  3. 8expert · hard

    A manufacturing company is using an AI system to optimize its energy consumption in its factories. The system has successfully reduced energy use by 15%, contributing to the company's 'E' in ESG. However, the AI system's optimization has also led to a more unpredictable production schedule, causing stress and overtime for factory workers. The company's ESG committee is reviewing this trade-off. Which action best addresses the conflict between the 'E' and 'S' pillars of ESG?

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  4. 9foundation · easy

    What is the primary purpose of ethical AI frameworks in the context of AI risk governance?

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  5. 10expert · hard

    A global consumer goods company is deploying an AI system to personalize marketing campaigns. The company operates in multiple regions with varying regulations and cultural norms. The AI risk team has identified that a marketing campaign that is effective in one region could be considered manipulative or offensive in another. The company's governance structure is centralized, with a single global risk committee. Which approach best manages this risk while respecting regional differences?

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