Can an Artificial Intelligence algorithm have racial bias? Yes, if the data, rules, or design choices behind it contain bias.
AI systems learn from data. If data reflects historical inequalities, incomplete representation, or distorted decisions, the model can reproduce those patterns.
Bias is not only a technical issue
Bias can enter a system through training data, labels, objectives, evaluation methods, or the way outputs are interpreted by people.
For this reason, responsible AI requires governance, transparency, testing, and continuous monitoring.
Organizations that use AI should ask not only whether a system works, but also how it works, for whom, and with what consequences.
