Learn in the textbookRisks and Social Issues of AI
DefinitionAlgorithmic bias (アルゴリズムのバイアス) is when skew in training data or design tilts an AI's decisions unfairly according to attributes such as gender or age.
ExplanationIt is not that the AI means harm; it reads habits of human judgment left in past records as if they were rules. Since the cause usually lies in the data, countermeasures focus on the stage of collecting and preparing the data used for training.
AnalogyIt is like judging national tastes from one region's shop sales alone: that region's preferences end up as the national standard.
Memory hookBias originally meant "slant"; cutting fabric on the diagonal is still called a "bias cut." Picture a decision that should run straight leaning to one side.