Ethical AI means building and deploying AI systems that are fair, responsible, and aligned with human values. This covers avoiding harmful bias in model outputs, respecting user privacy, maintaining transparency about how decisions are made, and ensuring AI is used in ways that benefit people rather than cause harm.
No — ethical AI shapes practical design decisions, training data choices, and governance policies in real deployments. Choosing not to use certain data types in hiring AI, building in explainability for credit decisions, and publishing audit logs for algorithmic systems are all concrete expressions of ethical AI principles.
