CONCRETE examples of the dangers of artificial intelligence (AI) bias continue to emerge as adoption of the technology expands across society. Ardi Sutedja, Chair of the Indonesia Cyber Security Forum, said bias in AI emerges when the algorithms or training data used are not neutral. As a result, the outputs generated tend to favor or marginalize certain groups. “The risk is not only individual but also systemic,” he said on Wedn