22 citations · 86 across the 20 of their papers we have counts for
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A Question Bank to Assess AI Inclusivity: Mapping out the Journey from Diversity Errors to Inclusion Excellence
Rifat Ara Shams, Didar Zowghi, Muneera Bano
Ensuring diversity and inclusion (D&I) in artificial intelligence (AI) is crucial for mitigating biases and promoting equitable decision-making. However, existing AI risk assessmen…
Diversity and Inclusion in AI for Recruitment: Lessons from Industry Workshop
Muneera Bano, Didar Zowghi, Fernando Mourao +2
Artificial Intelligence (AI) systems for online recruitment markets have the potential to significantly enhance the efficiency and effectiveness of job placements and even promote…
Investigating Responsible AI for Scientific Research: An Empirical Study
Muneera Bano, Didar Zowghi, Pip Shea +1
Scientific research organizations that are developing and deploying Artificial Intelligence (AI) systems are at the intersection of technological progress and ethical consideration…
A Vision for Operationalising Diversity and Inclusion in AI
Muneera Bano, Didar Zowghi, Vincenzo Gervasi
The growing presence of Artificial Intelligence (AI) in various sectors necessitates systems that accurately reflect societal diversity. This study seeks to envision the operationa…
Challenges and Solutions in AI for All
Rifat Ara Shams, Didar Zowghi, Muneera Bano
Artificial Intelligence (AI)'s pervasive presence and variety necessitate diversity and inclusivity (D&I) principles in its design for fairness, trust, and transparency. Yet, these…