Explore the importance of providing clear data use statements in AI solutions for user privacy and security. Learn how transparent data handling practices safeguard user information.
Table of Contents
Question
What is the example of the responsible AI Privacy and security principle when users are running an AI solution from their devices?
A. Secure data from the devices on the server where the model runs
B. Providing statement about the use of data
C. Deleting the data on the servers after model run
D. Running models on the device without removing any data
E. Checking the data on vulnerabilities
Answer
D. Running models on the device without removing any data
Explanation
Microsoft recognizes six principles of responsible AI: Fairness, Reliability and safety, Privacy and security, Transparency, Inclusiveness and Accountability.
The Privacy and security principle defines that personal information and data must always be secure and kept private. If users run an AI solution on their devices, models should run on their devices and use their data. Data should stay on the device and not be moved to the server for this operation.
All other options are incorrect.
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.
