Ethical AI: Bias, Transparency, and Responsible Use
Ethical AI: Bias, Transparency, and Responsible Use Ethical AI means building and using artificial intelligence in a way that respects people, privacy, and safety. It invites humility about what the technology can and cannot do. Good practice starts with clear goals, the people who will be affected, and simple rules that guide design and use. Bias often hides in data. If a training set has more examples from one group, the system may favor that group. This can lead to unfair hiring, lending, or risk assessments. To cut bias, use diverse data, test on different groups, and measure fairness with plain checks that anyone can understand. ...