Discover the proper sequence of stages – Identify, Measure, Mitigate, Operate – for responsibly planning and implementing generative AI solutions. Master key concepts for the AI-900 Microsoft Azure AI Fundamentals certification exam.
Table of Contents
Question
Arrange the stages in the correct sequence to plan a responsible generative AI solution.
A. Measure , Mitigate , Identify , Operate
B. Measure , Identify , Mitigate , Operate
C. Identify , Measure , Mitigate , Operate
Answer
The correct order of the stages to plan a responsible generative AI solution is:
C. Identify, Measure, Mitigate, Operate
Explanation
Here’s a detailed breakdown of each stage:
- Identify: In this initial stage, you pinpoint potential risks, unintended consequences, and ethical considerations associated with your generative AI system. This involves carefully examining the purpose, scope, stakeholders, and impact of your solution.
- Measure: Next, you quantify and assess the identified risks and considerations using well-defined metrics and benchmarks. This stage helps you understand the magnitude and likelihood of each risk factor.
- Mitigate: Based on the measurement results, you develop and implement targeted strategies, safeguards, and best practices to address and alleviate the identified risks and ethical concerns. Mitigation techniques can include data preprocessing, model adjustments, human oversight, and more.
- Operate: Finally, you deploy and operate the generative AI solution in a responsible and controlled manner. This stage involves ongoing monitoring, maintenance, and iteration to ensure the system continues to perform as intended while adhering to ethical principles and mitigating evolving risks.
By following this specific sequence of Identify, Measure, Mitigate, and Operate, you can systematically plan and implement a generative AI solution that is robust, reliable and ethically responsible. Thorough planning and execution of each stage is crucial for the success and trustworthiness of your AI system.
Identify: Recognize the potential impacts and risks associated with the AI solution.
Measure: Assess the effectiveness and implications of the solution.
Mitigate: Implement strategies to reduce identified risks and improve outcomes.
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.