AI Ethics
Norms and practices ensuring AI respects human rights, fairness, safety, transparency and accountability across the AI lifecycle.
Definition
An articulated set of normative principles—such as inclusivity, transparency, humanity, security, accessibility, credibility, data protection, sustainability, and intellectual property respect—that frame the design, deployment, and governance of AI systems and inform organisational policies and practices.
Related Terms
Ethical, reliable and trustworthy AI
AI systems following transparency, accountability, fairness, privacy and safety....
Ethical AI
AI designed to respect privacy, fairness, accountability and safety....
Responsible AI
An approach to design, develop and deploy AI that respects law, human rights and ethical principles and that manages harms through governance, transparency and accountability....
trustworthy/ethical AI
AI designed with transparency, accountability and respect for rights....
Responsible Use of AI
Ethical, transparent AI use that respects human rights....