AI for All: Operationalizing Diversity and Inclusion Requirements for AI Systems | HackerNoon
Briefly

As Artificial Intelligence (AI) permeates many aspects of society, it brings numerous advantages while at the same time raising ethical concerns and potential risks, such as perpetuating inequalities through biased or discriminatory decision-making. To develop AI systems that cater for the needs of diverse users and uphold ethical values, it is essential to consider and integrate diversity and inclusion (D&I) principles throughout AI development and deployment.
As AI systems become increasingly prevalent in everyday life, ensuring they respect and reflect the diversity of society is of paramount importance. Failing to address this issue can lead to AI solutions that perpetuate societal biases, inadvertently sidelining certain groups and prolonging existing inequalities.
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