Discover the critical action for ensuring Privacy and Security in Azure AI payment applications. Learn Azure AI-900 exam strategies, secure credit card data handling, and responsible AI compliance for financial systems. Essential for certification success.
Table of Contents
Question
Your company is creating AI solutions for use in payment applications. Which of the following is a mandatory action for ensuring the responsible AI principle of Privacy and Security?
A. Ensuring the payments made by the app are done reliably
B. Ensuing all users are made aware of how the app works
C. Ensuring customer credit card information is safe
D. Ensuring all people are treated fairly in the use of the app
Answer
C. Ensuring customer credit card information is safe
Explanation
Ensuring customer credit card information is safe directly addresses the Privacy and Security principle of responsible AI. Payment applications handle highly sensitive financial data, and it is crucial to implement robust security measures to protect this information from unauthorized access, breaches, or misuse.
Ensuring that the payments made by the app are done reliably is related to the principle of Reliability and Safety. While important for user experience, this is not directly related to privacy and security.
Ensuring all people are treated fairly in the use of the app falls under the principle of Fairness. This is not directly related to the privacy and security of data.
Ensuring that all users are made aware of how the app works falls under the principle of Transparency. This is important for trust but is not the primary concern for the privacy and security of financial data.
The six key principles of responsible AI include:
- Fairness: AI systems should treat all people fairly, avoiding biases based on factors such as gender and ethnicity.
- Reliability and Safety: AI systems should perform reliably and safely, with rigorous testing and deployment management to ensure expected functionality and minimize risks.
- Privacy and Security: AI systems should be secure and respect privacy, considering the privacy implications of the data used and decisions made by the system.
- Inclusiveness: AI systems should empower and engage everyone, bringing benefits to all parts of society without discrimination.
- Transparency: AI systems should be understandable, with users fully aware of the system’s purpose, functioning, and limitations.
- Accountability: People should be accountable for AI systems, working within a framework of governance and organizational principles to meet ethical and legal standards.
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.