AI, Algorithms and Moral Responsibility

Artificial intelligence systems classify information, predict outcomes and recommend actions using data and programmed objectives. They do not thereby acquire the moral standing or accountability of human beings. Responsibility remains with the people and institutions that design, deploy, supervise and use them. A student should distinguish (1) a factual question about how an algorithm works, (2) a moral question about whether its effects are just, and (3) a legal question about who must remedy harm. For example, a school using an automated admission score must investigate whether the input data unfairly disadvantage some applicants. Accuracy alone is not sufficient: transparency, privacy, proportionality and a fair process for appeal also matter. Human oversight must be meaningful rather than a ceremonial approval of machine output.