Responsible AI
Also known as: Ethical AI, Trustworthy AI, AI Ethics
The practice of designing, developing, deploying, and using AI systems in ways that are ethical, transparent, fair, accountable, and aligned with human rights and societal values.
Sources & References
Related Terms
AI Alignment
The research field focused on ensuring that AI systems' goals, behaviors, and values are compatible with human intentions and societal well-being throughout their operation.
AI Governance
The frameworks, policies, standards, and oversight mechanisms that guide the development, deployment, and use of AI systems within organizations and across society.
Bias in AI
Systematic errors in AI system outputs that create unfair outcomes for certain groups, typically arising from biased training data, flawed model design, or biased evaluation metrics.
Explainability
The degree to which the internal workings and decision-making processes of an AI system can be understood, interpreted, and explained to humans in meaningful terms.