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:在各种场景中AI的成功部署为个人和社会带来了许多积极的结果。然而,由于偏见的预测,AI系统也已经被证明对部分人群造成了伤害。我们着眼于AI的公平性,分析缺乏AI公平性如何会导致随着时间的推移偏见加深,并作为社会压力因素。如果这些问题在持续存在,就可能对社会产生不良的长期影响,并与其他风险相互作用。我们检查了当前改善AI公平性的策略,并评估了它们在实际部署方面的局限性,探讨了确保我们在不伤害社会的重要部分的情况下获得AI好处的潜在路径。