Governance
AI Ethics
AI ethics is the practice of evaluating AI systems against principles like fairness, transparency, accountability, and harm reduction before deployment. In a business context, it includes review of training data sources, bias testing, explainability, and human-in-the-loop requirements.
Related terms
- AI Governance — AI governance is the system of policies, controls, and accountabilities that determines what AI is allowed to do inside an organization, who approves AI deployments, how AI decisions are audited, and how risk is managed.
- Responsible AI — Responsible AI is an umbrella term for the operational practices that make AI deployments safe, fair, transparent, accountable, and aligned with human values — covering ethics, governance, security, privacy, and reliability across the full lifecycle.