The term AI Bias belongs to the fields of Artificial Intelligence, Big Data and Smart Data, and Digital Society. AI Bias means that artificial intelligence – that is, learning computer systems – develops certain biases and makes incorrect decisions because it has been fed faulty or one-sided data.
The problem usually arises when the datasets used to train the AI are not balanced. For example, imagine a company uses AI to screen job applications. If the AI's training primarily used information from existing, predominantly male employees, it could unconsciously discriminate against female applicants. This isn't because the AI itself is malicious, but because it draws incorrect conclusions from the unevenly distributed examples.
AI bias is therefore a real stumbling block when it comes to achieving fair and objective decisions through artificial intelligence. Companies should therefore be careful to select their data carefully and regularly check their AI for prejudice, so that no one is disadvantaged.
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