Which risk is highlighted by the use of AI in facial recognition?

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

Which risk is highlighted by the use of AI in facial recognition?

Explanation:
The key risk being examined is privacy intrusion from processing biometric data through facial recognition. When AI analyzes faces to identify individuals, it can enable tracking and profiling across different places and times, often without explicit, informed consent. This exposure opens up the potential for civil lawsuits if data collection or usage exceeds what people have agreed to, or if data is mishandled or biased results cause harm. The other options don’t fit as well: universal consent isn’t a guaranteed safeguard in practice, there is indeed risk rather than none, and protecting privacy is the goal rather than the risk being highlighted.

The key risk being examined is privacy intrusion from processing biometric data through facial recognition. When AI analyzes faces to identify individuals, it can enable tracking and profiling across different places and times, often without explicit, informed consent. This exposure opens up the potential for civil lawsuits if data collection or usage exceeds what people have agreed to, or if data is mishandled or biased results cause harm. The other options don’t fit as well: universal consent isn’t a guaranteed safeguard in practice, there is indeed risk rather than none, and protecting privacy is the goal rather than the risk being highlighted.

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