Which concept in responsible AI emphasizes making decisions and recommendations explainable to end users?

Correct answer: Transparency and Interpretability

Option B is correct because transparency and interpretability in responsible AI refers to the principle of making a model's decision-making process understandable and explainable to end users and stakeholders, ensuring people can comprehend why a particular recommendation or decision was produced. Option A is incorrect because fairness addresses biases and equitable treatment across demographic groups, not the explainability of individual decisions. Option C is incorrect because privacy concerns the protection of personal data and the prevention of unauthorized access or disclosure, which is distinct from making predictions explainable. Option D is incorrect because accountability refers to assigning responsibility and oversight for AI system outcomes, which is a governance concern rather than the act of making decisions interpretable to end users.