Diversity and Inclusion in Artificial Intelligence

• URL: http://arxiv.org/abs/2305.12728v1
• Date: Mon, 22 May 2023 05:33:34 GMT
• Title: Diversity and Inclusion in Artificial Intelligence
• Authors: Didar Zowghi and Francesca da Rimini
• Abstract summary: We present a clear definition of diversity and inclusion in AI, one which positions this concept within an evolving and holistic ecosystem. We use this definition and conceptual framing to present a set of practical guidelines primarily aimed at AI technologists, data scientists and project leaders.
• Score: 3.4646560112467037
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: To date, there has been little concrete practical advice about how to ensure that diversity and inclusion considerations should be embedded within both specific Artificial Intelligence (AI) systems and the larger global AI ecosystem. In this chapter, we present a clear definition of diversity and inclusion in AI, one which positions this concept within an evolving and holistic ecosystem. We use this definition and conceptual framing to present a set of practical guidelines primarily aimed at AI technologists, data scientists and project leaders.

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