AI for All: Operationalizing Diversity and Inclusion Requirements for AI Systems

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Explore the importance of incorporating diversity and inclusion principles in AI system development through tailored requirements engineering.

Authors: Muneera Bano; Didar Zowghi; Vincenzo Gervasi; Rifat Shams.

The pervasive role of Artificial Intelligence in social interactions, from generating and recommending contents, to processing images and voices, brings numerous benefits but also necessitates addressing ethical implications and risks, such as ensuring equitable and non-discriminatory decision-making, and preventing the amplification of existing inequalities and biases .

The pervasive role of Artificial Intelligence in social interactions, from generating and recommending contents, to processing images and voices, brings numerous benefits but also necessitates addressing ethical implications and risks, such as ensuring equitable and non-discriminatory decision-making, and preventing the amplification of existing inequalities and biases .

 

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