Explore the significance of transparency in AI deployment, ensuring users understand the capabilities and limitations of AI solutions for informed decision-making. Learn about responsible AI practices here.
Table of Contents
Question
You created an AI solution. Along with solution deployment, you provided information about the solution’s possibilities and limitations. By providing this information, with what principle for responsible AI did you comply?
A. Fairness
B. Reliability and safety
C. Privacy and security
D. Transparency
E. Inclusiveness
F. Accountability
Answer
Transparency
Explanation
By providing details about the AI solution’s capabilities and constraints during deployment, you complied with the “Transparency” principle for responsible AI. This principle emphasizes the importance of clearly articulating the AI system’s functionalities, limitations, and potential biases to ensure users understand its behavior and make informed decisions.
Microsoft recognizes six principles of responsible AI: Fairness, Reliability and safety, Privacy and security, Transparency, Inclusiveness and Accountability.
The principle of Transparency helps people to understand how to use AI solutions, their behavior, possibilities, and limitations.
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