What does the term 'AI ethics frameworks' refer to?

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 does the term 'AI ethics frameworks' refer to?

Explanation:
AI ethics frameworks are guidelines for ethical AI development and deployment. They set out principles—such as fairness, accountability, transparency, privacy, safety, and human oversight—that help teams evaluate harms, benefits, and trade-offs across the AI lifecycle. By guiding decisions from design and data practices to deployment and governance, these frameworks help ensure AI systems respect rights, reduce bias, provide explanations where possible, and remain auditable. They aren’t about hardware production standards, rapid data collection methods, or software licensing policies, which belong to other areas like engineering practices, data acquisition, or licensing.

AI ethics frameworks are guidelines for ethical AI development and deployment. They set out principles—such as fairness, accountability, transparency, privacy, safety, and human oversight—that help teams evaluate harms, benefits, and trade-offs across the AI lifecycle. By guiding decisions from design and data practices to deployment and governance, these frameworks help ensure AI systems respect rights, reduce bias, provide explanations where possible, and remain auditable. They aren’t about hardware production standards, rapid data collection methods, or software licensing policies, which belong to other areas like engineering practices, data acquisition, or licensing.

More Multiple Choice Questions
Subscribe

Get the latest from Passetra

You can unsubscribe at any time. Read our privacy policy