Ethical AI Principles
Twelve high-level ethical principles guiding AI projects.
Definitions (2)
A consolidated set of twelve high-level principles (Transparency & Interpretability; Reliability, Robustness & Security; Fairness; Diversity & Inclusion; Human Oversight; Lawfulness & Compliance; Data Privacy; Safety; Accountability; Beneficial AI; Cooperation & Openness; Sustainability & Just Transition) intended to guide the design, development, deployment and operation of AI within government projects.
A set of guiding normative principles—beneficence (promote good), non-maleficence (avoid harm), autonomy (respect agency), justice (ensure fairness), and explicability (enable explainability)—that direct the design, deployment, and oversight of AI systems.
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