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AI-900: Microsoft’s Responsible AI Principles Aligning Ethics with Technology

Understand how Microsoft’s guiding principles, including accountability, fairness, and privacy, drive responsible AI. Learn how these principles shape ethical AI development.

Table of Contents

Question

DRAG DROP -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.

NOTE: Each correct selection is worth one point. Select and Place:

Principles:

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

Answer Area:

  • Ensure that AI systems operates 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 operates as they were originally designed, respond to unanticipated conditions, and resist harmful manipulation.
  • Accountability: 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

Box 1: 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.

Box 2: Accountability -The people who design and deploy AI systems must be accountable for how their systems operate. Organizations should draw upon industry standards to develop accountability norms. These norms can ensure that AI systems are not the final authority on any decision that impacts people’s lives and that humans maintain meaningful control over otherwise highly autonomous AI systems.

Box 3: 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

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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