Ethical AI

Ethical AI is the application of moral reasoning to decisions about how AI is built and used. It asks whether a use is acceptable — not merely whether it is legal, profitable, or technically feasible. The questions it raises include: Who is affected, and how? What harm could result, and who bears it? Do affected people have meaningful ability to understand or contest what the AI does to them? Is this use consistent with the trust relationships the organization has with its customers, employees, and the public? Ethical AI is distinct from compliance: regulations set a legal floor, not an ethical ceiling.

Legal compliance and ethical acceptability can diverge significantly, and the distance between them is where most AI controversies originate. Many uses that are currently legal — inferring emotional state from meeting behavior, scoring customers on vulnerability signals, making employment decisions through opaque models — remain ethically contested. An ethics review that actually changes or stops AI projects is a governance function; one that only documents them is a liability with a paper trail.