Exam AI-901 Topic 1 Question 33 Discussion

Explanation:
Box 1: Yes
Yes, limiting access to AI systems and data directly reduces the risk of unauthorized data exposure by minimizing attack surfaces and preventing accidental leaks.
Key Security Benefits
Fewer Entry Points: Restricting who and what can connect to your AI model lowers the chance of a security breach.
Controlled Data Flow: Limiting data inputs ensures sensitive user or corporate information does not enter training pipelines or public logs.
Better Compliance: Strict access rules help meet privacy laws and internal security policies.
Box 2: No
Sharing personal user data does not automatically improve collaboration or support responsible AI practices; in many cases, it creates significant privacy, security, and ethical risks that run counter to responsible AI principles.
Box 3: Yes
Yes, protecting personal data and complying with regulations are essential parts of responsible AI. They build trust, respect user privacy, and prevent illegal data use.
User Trust: People want to know their private data is safe.
Legal Rules: Laws punish companies that misuse data.
Fairness: Good data habits stop AI from learning bad or biased habits.
Reference:
https://www.linkedin.com/top-content/artificial-intelligence/ai-in-cybersecurity/data-security-issues-in-artificial-intelligence/
https://pmc.ncbi.nlm.nih.gov/articles/PMC10498316/