Understanding AI Risks and Harms
Published online by Cambridge University Press: 20 February 2026
Chapter 3 presents the other side of the coin, namely AI risks and harms. Automated decision systems, chatbots, recommender systems, and other AI-powered software and platforms have been found to cause potential risks or actual harms to affected persons and communities. Such risks and harms include bias and discrimination, surveillance, inaccurate, incorrect and unreliable output, disinformation, misinformation or manipulation, harm to life, livelihood and wellbeing, privacy violations, decline in product and service quality, political polarization, online radicalization and algorithmic censorship, and job replacement. Some of these harms, such as bias and discrimination, have already been experienced frequently, while others, like job replacement, point to future risks. It is also worth noting that AI risks and harms often aggravate existing social and political problems. For example, political polarization and radicalization, while exacerbated by algorithmic curation, appear to have origins in societal divisions. Finally, AI is criticized for causing system-level harm in the form of environmental degradation, exploitation of labor, and market concentration.
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