Operationalizing Diversity and Inclusion Requirements for AI Systems: Results

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 V.RESULTS A. D&I in AI Themes Table 1 provides a unique list of 23 themes extracted from our literature review. The themes are structured across five foundational pillars, showing the multifaceted dimensions of AI ecosystem.

While transparency and explainability demand open and interpretable AIsystems, prioritizing data security and user privacy might require certain data operations to remain unchanged. Similarly, within the 'Humans' pillar, theme #2 emphasizes the importance of a collective approach involving diverse stakeholders in AI development.

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