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AI for All: Operationalising Diversity and Inclusion Requirements for AI
  Systems

AI for All: Operationalising Diversity and Inclusion Requirements for AI Systems

7 November 2023
Muneera Bano
Didar Zowghi
Vincenzo Gervasi
R. Shams
ArXivPDFHTML

Papers citing "AI for All: Operationalising Diversity and Inclusion Requirements for AI Systems"

4 / 4 papers shown
Title
Engineering the Law-Machine Learning Translation Problem: Developing Legally Aligned Models
Engineering the Law-Machine Learning Translation Problem: Developing Legally Aligned Models
Mathias Hanson
Gregory Lewkowicz
Sam Verboven
AILaw
ELM
69
1
0
23 Apr 2025
Leveraging LLMs for User Stories in AI Systems: UStAI Dataset
Leveraging LLMs for User Stories in AI Systems: UStAI Dataset
Asma Z. Yamani
Malak Baslyman
Moataz Ahmed
28
0
0
01 Apr 2025
Diversity and Inclusion in AI for Recruitment: Lessons from Industry
  Workshop
Diversity and Inclusion in AI for Recruitment: Lessons from Industry Workshop
Muneera Bano
Didar Zowghi
Fernando Mourao
Sarah Kaur
Tao Zhang
34
1
0
09 Nov 2024
Investigating Responsible AI for Scientific Research: An Empirical Study
Investigating Responsible AI for Scientific Research: An Empirical Study
Muneera Bano
Didar Zowghi
Pip Shea
Georgina Ibarra
19
4
0
15 Dec 2023
1