Concrete Steps for Implementing Diversity and Inclusion in AI

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Learn how to effectively integrate diversity and inclusion into AI systems, addressing the gap between ethical guidelines and practical implementation

Authors: Muneera Bano; Didar Zowghi; Vincenzo Gervasi; Rifat Shams. Table of Links Abstract, Impact Statement, and Introduction Defining Diversity and Inclusion in AI Research Motivation Research Methodology Results Discussion Conclusion and Future Work and References III.

The increasing prominence of AI systems in our everyday lives has led to an urgent need for ethical and responsible AI consideration. Numerous ethical guidelines and principles for AI have emerged, emphasizing fairness, justice, and equity as crucial components of ethically sound AI systems .

The increasing prominence of AI systems in our everyday lives has led to an urgent need for ethical and responsible AI consideration. Numerous ethical guidelines and principles for AI have emerged, emphasizing fairness, justice, and equity as crucial components of ethically sound AI systems .

 

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