What term describes the ethical and accountable development, deployment, and use of AI systems that prioritizes fairness, transparency, accountability, safety, and societal well‑being while mitigating risks?

What term describes the ethical and accountable development, deployment, and use of AI systems that prioritizes fairness, transparency, accountability, safety, and societal well‑being while mitigating risks?

• A. Responsible AI
• B. AI Governance
• C. Data Privacy
• D. Machine Learning Ethics

Answer: (A)

Responsible AI describes the ethical and accountable development, deployment, and use of AI systems that prioritize fairness, transparency, accountability, safety, and societal well-being while mitigating risks. This term signals a holistic, action-oriented approach that weaves governance, risk management, and social impact considerations into every stage of an AI system’s life cycle. It’s broader than AI governance, which focuses on policies and oversight structures; it’s narrower than machine learning ethics in its practical scope, which centers on ethical questions in ML methods themselves, and it goes beyond data privacy, which concentrates on protecting personal data.

Responsible AI describes the ethical and accountable development, deployment, and use of AI systems that prioritize fairness, transparency, accountability, safety, and societal well-being while mitigating risks. This term signals a holistic, action-oriented approach that weaves governance, risk management, and social impact considerations into every stage of an AI system’s life cycle. It’s broader than AI governance, which focuses on policies and oversight structures; it’s narrower than machine learning ethics in its practical scope, which centers on ethical questions in ML methods themselves, and it goes beyond data privacy, which concentrates on protecting personal data.