Which term refers to the obligation of an entity to take responsibility for the outcomes of an AI system?

The term that accurately describes the obligation of an entity to take responsibility for the outcomes of an AI system is accountability. This concept entails that when decisions are made by an AI system, the organization or individuals behind the AI must be held responsible for the results of those decisions, ensuring that actions can be traced back and that there is a clear understanding of who is answerable for the AI's impact.

Accountability is critical in fostering trust in AI systems, as it assures users and stakeholders that there will be consequences for any misdeeds or failures resulting from the AI's function. This principle reinforces the principle of ethical AI development, which emphasizes the need for clear ownership and responsibility concerning the AI's actions and decisions.

Other terms in the question, such as transparency, consent, and logic-based reasoning, relate to different aspects of AI ethics and functionality but do not specifically capture the obligation of an entity to be responsible for outcomes. Transparency pertains to the clarity and openness of the AI’s processes, consent refers to individuals’ permission regarding data use and AI decision-making, and logic-based reasoning focuses on how AI makes decisions based on structured principles. Each of these terms is important in its own context, but they do not address the fundamental responsibility that comes with the