22 citations · 115 across the 25 of their papers we have counts for
8 papers · 1 filter
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…
The Innovation-to-Occupations Ontology: Linking Business Transformation Initiatives to Occupations and Skills
Daniela Elia, Fang Chen, Didar Zowghi +1
The fast adoption of new technologies forces companies to continuously adapt their operations making it harder to predict workforce requirements. Several recent studies have attemp…
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…
Diversity and Inclusion in Artificial Intelligence
Didar Zowghi, Francesca da Rimini
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 Intellig…
Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering
Qinghua Lu, Liming Zhu, Xiwei Xu +3
Responsible AI is widely considered as one of the greatest scientific challenges of our time and is key to increase the adoption of AI. Recently, a number of AI ethics principles f…