Principles for Responsible AI | AI-900 Exam Answer | Microsoft Azure AI Fundamentals

Principles for Responsible AI

Question

You are building an AI-based app.

You need to ensure that the app uses the principles for responsible AI.

Which two principles should you follow? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

Answers

Explanations

Click on the arrows to vote for the correct answer

A. B. C. D.

BC

https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/3-implications-responsible-ai-practical

Responsible AI refers to the ethical and social considerations that should be taken into account when designing, developing, and deploying AI-based systems. To ensure that an AI-based app follows the principles for responsible AI, there are several steps that should be taken, including the following:

B. Implement a process of AI model validation as part of the software review process

One of the principles for responsible AI is to ensure that AI models are reliable, accurate, and unbiased. To achieve this, a process of AI model validation should be implemented as part of the software review process. This process involves testing the AI models under different scenarios to ensure that they perform as expected, and that they do not exhibit any biases or discriminatory behaviors. The validation process should also ensure that the AI models comply with relevant regulations and standards.

C. Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer

Another principle for responsible AI is to establish a risk governance committee that includes members from various departments such as legal, risk management, and privacy. The committee should be responsible for identifying and managing risks associated with the AI-based app, including legal and ethical risks. The committee should also be responsible for ensuring that the app complies with relevant laws, regulations, and standards.

A. Implement an Agile software development methodology

Agile software development is a methodology that focuses on delivering high-quality software quickly and efficiently. It emphasizes collaboration, flexibility, and continuous improvement. By implementing an Agile software development methodology, developers can ensure that the AI-based app is developed in a way that is responsive to changing user needs and that issues are addressed quickly.

D. Prevent the disclosure of the use of AI-based algorithms for automated decision making

Another principle for responsible AI is to ensure that the use of AI-based algorithms for automated decision-making is transparent and accountable. This can be achieved by providing users with clear information about how the app uses AI, and by ensuring that decisions made by the app are explainable and can be audited. However, it is also important to protect the privacy of users and to prevent the disclosure of sensitive information. To achieve this, the app should be designed in a way that prevents the disclosure of the use of AI-based algorithms for automated decision making.