What is the role of ethical considerations in AI strategies?

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 is the role of ethical considerations in AI strategies?

Explanation:
Ethical considerations in AI strategies ensure that AI solutions reflect societal values and promote fairness. In practice, ethics guides what we build, how we collect and use data, how models make decisions, and how we govern and explain outcomes. This helps prevent bias and discrimination, protect privacy, and establish accountability and trust with users. The best choice captures this broad role by stating that ethics ensures alignment with societal values and fairness. Other options focus on efficiency, data use, or speed of deployment, which are important but not the ethical role itself.

Ethical considerations in AI strategies ensure that AI solutions reflect societal values and promote fairness. In practice, ethics guides what we build, how we collect and use data, how models make decisions, and how we govern and explain outcomes. This helps prevent bias and discrimination, protect privacy, and establish accountability and trust with users. The best choice captures this broad role by stating that ethics ensures alignment with societal values and fairness. Other options focus on efficiency, data use, or speed of deployment, which are important but not the ethical role itself.

Subscribe

Get the latest from Passetra

You can unsubscribe at any time. Read our privacy policy