AI-900: Microsoft guiding principles for responsible AI to the appropriate descriptions

Question

Match the Microsoft guiding principles for responsible AI to the appropriate descriptions. (To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all.)
Principles:

• Accountability
• Fairness
• Inclusiveness
• Privacy and security
• Reliability and safety

Answer Area:

• Ensure that AI systems operate as they were originally designed, respond to unanticipated conditions, and resist harmful manipulation.
• Implementing processes to ensure that decisions made by AI systems can be overridden by humans.
• Provide consumers with information and controls over the collection, use, and storage of their data.

Answer

Reliability and safety: Ensure that AI systems operate as they were originally designed, respond to unanticipated conditions, and resist harmful manipulation.
Fairness: Implementing processes to ensure that decisions made by AI systems can be overridden by humans.
Privacy and security: Provide consumers with information and controls over the collection, use, and storage of their data.

Explanation

Reliability and safety. To build trust, it’s critical that AI systems operate reliably, safely, and consistently under normal circumstances and in unexpected conditions. These systems should be able to operate as they were originally designed, respond safely to unanticipated conditions, and resist harmful manipulation.
Fairness. Fairness: AI systems should treat everyone fairly and avoid affecting similarly situated groups of people in different ways. For example, when AI systems provide guidance on medical treatment, loan applications, or employment, they should make the same recommendations to everyone with similar symptoms, financial circumstances, or professional qualifications.
Privacy and security. As AI becomes more prevalent, protecting privacy and securing important personal and business information is becoming more critical and complex. With AI, privacy and data security issues require especially close attention because access to data is essential for AI systems to make accurate and informed predictions and decisions about people. AI systems must comply with privacy laws that require transparency about the collection, use, and storage of data and mandate that consumers have appropriate controls to choose how their data is used.

References

Microsoft Docs > Learn > Browse > Identify guiding principles for responsible AI

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