Which concerns relate to the handling and protection of personal data in AI applications?

• A. Data privacy issues
• B. Explainable AI (XAI)
• C. Generative AI
• D. Convolutional neural networks (CNNs)

Answer: (A)

Handling and protecting personal data in AI applications centers on data privacy issues. This covers how data is collected, stored, used, and shared, and the safeguards needed to prevent misuse or exposure of individuals’ information. It includes obtaining proper consent, minimizing data collected, retaining data only as long as necessary, enforcing access controls, encrypting data, and applying privacy-preserving techniques like anonymization or pseudonymization. It also involves governance and compliance with laws and regulations, addressing data subject rights, and considering risks such as data breaches or the potential for models to reveal sensitive information through privacy attacks.

Explainable AI is about making AI decisions interpretable and understandable to humans, which aids accountability and trust but is not primarily about protecting personal data. Generative AI concerns the ability of models to create new content, which can raise different issues (like quality, misuse, or copyright) but not specifically the protection of personal data in the handling process. Convolutional neural networks are a type of model architecture used mainly for image processing, not a privacy protection concept.