Building fairness into AI is crucial – and hard to get right
Artificial intelligence’s capacity to process and analyze vast amounts of data has revolutionized decision-making processes, making operations in health care, finance, criminal justice and other sectors of society more efficient and, in many instances, more effective.
With this transformative power, however, comes a significant responsibility: the need to ensure that these technologies are developed and deployed in a manner that is equitable and just. In short, AI needs to be fair.
The pursuit of fairness in AI is not merely an ethical imperative but a requirement in order to foster trust, inclusivity and the responsible advancement of technology. However, ensuring that AI is fair is a major challenge and attempts to ensure fairness in AI can have unintended consequences.
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