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.

Read the full article

Ein Service des deutschen Präventionstages.