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What is the role of impact analysis in managing AI risk?

Asked on Oct 22, 2025

Answer

Impact analysis plays a crucial role in managing AI risk by systematically evaluating the potential consequences of AI systems on stakeholders, society, and the environment. It helps identify and mitigate negative outcomes, ensuring that AI deployment aligns with ethical standards and regulatory requirements.

Example Concept: Impact analysis involves assessing the potential effects of an AI system across various dimensions such as privacy, fairness, and safety. By conducting a thorough impact analysis, organizations can anticipate risks, implement necessary safeguards, and ensure that AI systems contribute positively to society. This process often includes stakeholder consultations, scenario planning, and alignment with frameworks like the NIST AI Risk Management Framework.

Additional Comment:

Impact analysis should be integrated early in the AI development lifecycle to proactively address risks.
Engage diverse stakeholders to capture a wide range of perspectives and potential impacts.
Regularly update the impact analysis to reflect changes in technology, regulations, and societal expectations.
Use impact analysis findings to inform transparency reports and accountability measures.

✅ Answered with AI Ethics best practices.

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What is the role of impact analysis in managing AI risk?

Asked on Oct 22, 2025

Answer

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