ITGSS Certified Technical Associate: Project Management Practice Exam

Which principle is crucial for ensuring responsible AI, particularly regarding user data?

1. Transparency and Ethics

2. Privacy and Security

3. Performance and Efficiency

4. Scalability and Flexibility

The correct answer is: Privacy and Security

The principle of Privacy and Security is vital for ensuring responsible AI, especially when it comes to the management and utilization of user data. This principle emphasizes the need to protect users' personal information from unauthorized access and breaches, ensuring that data is collected, stored, and processed in a secure manner. Effective privacy measures help maintain user trust, which is crucial for the adoption of AI technologies. By prioritizing privacy, organizations can follow best practices such as data anonymization, encryption, and access controls, minimizing the risk of data misuse. Furthermore, adhering to privacy regulations like GDPR ensures that users have control over their own data, including rights to access, correction, and deletion. This responsible handling of user data not only upholds ethical standards but also promotes a healthier relationship between users and AI systems. While transparency and ethics are also important in the context of responsible AI, the focus here is particularly on the protection of user data itself, which is foundational for any organization seeking to deploy AI responsibly. Performance and efficiency, as well as scalability and flexibility, pertain more to the operational abilities and adaptability of AI systems rather than the ethical management of user information.