What ethical concern arises when AI causes harm?

Prepare for the ISACA Advanced in AI Security Management (AAISM) Test. Study with in-depth multiple choice questions, each offering insightful hints and detailed explanations. Equip yourself with expert knowledge and get exam-ready!

Multiple Choice

What ethical concern arises when AI causes harm?

Explanation:
Accountability for AI-caused harm is the central ethical issue. When an AI system produces incorrect results or biased outcomes that lead to harm, questions arise about who should be held responsible—the developers who built the model, the organizations that deployed it, or the users who relied on it. This ambiguity can delay remedies, erode trust, and complicate liability and governance. While data privacy concerns, environmental impact, and user resistance matter in AI ethics, they address different dimensions rather than who bears responsibility for the harms.

Accountability for AI-caused harm is the central ethical issue. When an AI system produces incorrect results or biased outcomes that lead to harm, questions arise about who should be held responsible—the developers who built the model, the organizations that deployed it, or the users who relied on it. This ambiguity can delay remedies, erode trust, and complicate liability and governance. While data privacy concerns, environmental impact, and user resistance matter in AI ethics, they address different dimensions rather than who bears responsibility for the harms.

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