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Algorithmic bias has become a significant issue in the fast-growing field of artificial intelligence (AI) and machine learning. Even when it is unintentional, algorithmic bias can appear in several ways, resulting in discriminatory outcomes that unjustly disadvantage particular individuals and groups.

Understanding the distinction between avoidable and unavoidable algorithmic bias will become increasingly important for policymakers, developers and consumers as they navigate the evolving relationship between technology and ethical norms. Interestingly, studies suggest that people are currently less troubled by algorithmic bias than by human bias, but this attitude may change over time.

Addressing algorithmic bias, whether avoidable or unavoidable, is both a technical problem and a societal obligation. Policymakers, engineers, ethicists and society must work together to ensure that AI systems possess intelligence, efficiency and fairness. At this pivotal moment in technological advancement, our policy decisions can shape the long-term impact of AI on our societies.