Successful deployment of artificial intelligence (AI) in various settings has led to numerous positive outcomes for individuals and society. However, AI systems have also been shown to harm parts of the population due to biased predictions. We take a closer look at AI fairness and analyse how lack of AI fairness can lead to deepening of biases over time and act as a social stressor. If the issues persist, it could have undesirable long-term implications on society, reinforced by interactions with other risks. We examine current strategies for improving AI fairness, assess their limitations in terms of real-world deployment, and explore potential paths forward to ensure we reap AI's benefits without harming significant parts of the society.

翻译：人工智能（AI）在各领域的成功部署为个人和社会带来了诸多积极成果。然而，研究表明AI系统因预测偏差可能对部分人群造成损害。本文深入探讨AI公平性问题，分析缺乏公平性如何导致偏见随时间深化，从而成为社会压力源。倘若此类问题持续存在，可能通过与其他风险的交互作用，对社会产生不良的长期影响。我们审视了当前提升AI公平性的策略，评估其在现实部署中的局限性，并探索确保在获取AI益处的同时不损害社会大多数群体的可行路径。