Which term describes governance focusing on privacy, bias, responsibility, and autonomy in AI?

• A. Ethical AI
• B. Federated learning
• C. Differential privacy
• D. Deepfakes

Answer: (A)

Ethical AI describes governance that centers on privacy, bias, responsibility, and autonomy in AI systems. It encompasses principles like fairness and non-discrimination, privacy protection, transparency, accountability, and appropriate human oversight, ensuring that AI decisions respect individuals’ privacy, avoid perpetuating or amplifying bias, and keep humans involved in important outcomes.

Federated learning is a method for training models across multiple devices without centralizing data, aimed at privacy in the data process, not a governance term. Differential privacy is a technique that adds noise to protect individual data contributions, again a method rather than a governance framework. Deepfakes refer to realistically generated synthetic media and highlight policy concerns, but the term itself does not denote governance focused on privacy, bias, responsibility, and autonomy.