Publications

Published and Available Online

1. Didar Zowghi, Francesca da Rimini, (2023) “Diversity and Inclusion in AI”, Book Chapter in ‘Responsible AI: Best Practices for Creating Trustworthy AI Systems’ Pearson Addison Wesley. Order the Book: https://www.amazon.com.au/Responsible-AI-Practices-Creating-Trustworthy/dp/0138073929 Link to the Book Chapter: https://arxiv.org/pdf/2305.12728
2. Shams, Rifat Ara, Muneera Bano, Didar Zowghi, Qinghua Lu, and Jon Whittle. “Human Value Requirements in AI Systems: Empirical Analysis of Amazon Alexa.” In IEEE 31st International Requirements Engineering Conference Workshops (REW), pp. 138-145. IEEE, 2023. https://doi.org/10.1109/REW57809.2023.00030
3. Shams, Rifat Ara, Didar Zowghi, and Muneera Bano. (2023) “AI and the quest for diversity and inclusion: a systematic literature review.” AI and Ethics (2023): 1-28. https://doi.org/10.1007/s43681-023-00362-w
4. Bano, M., Zowghi, D., & Whittle, J. (2023). AI and Human Reasoning: Qualitative Research in the Age of Large Language Models. The AI Ethics Journal, 3 (1). https://doi.org/10.47289/AIEJ20240122
5. Bano, Muneera, Rashina Hoda, Didar Zowghi, and Christoph Treude. (2023) “Large Language Models for Qualitative Research in Software Engineering: Exploring Opportunities and Challenges.” Automated Software Engineering Journal. https://doi.org/10.21203/rs.3.rs-3614628/v1
6. Zowghi, Didar, Muneera Bano, (2023), “What’s Missing in Requirements Engineering for Responsible AI?” IEEE Software. https://ieeexplore.ieee.org/document/10339122
7. Amelie Girard, Didar Zowghi, Muneera Bano, Marian-Andrei Riziou, (2024) “Inclusive and Explainable AI Systems: A Systematic Literature Review”, HICSS 2024. https://scholarspace.manoa.hawaii.edu/items/6353f320-f22a-468d-9983-f79574795a20
8. Muneera Bano, Didar Zowghi, Vincenzo Gervasi “A Vision for Operationalising Diversity and Inclusion in AI” Responsible AI Engineering Workshop (RAIE’24) at ICSE 2024. https://conf.researchr.org/details/icse-2024/raie-2024-papers/6/A-Vision-for-Operationalising-Diversity-and-Inclusion-in-AI 
9. Muneera Bano (2024), “Reimagining Humanity in the Age of Generative AI” Royal Society of Victoria. https://rsv.org.au/reimagining-humanity/
10. Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Didar Zowghi, Aurelie Jacquet (2024), “Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering”, ACM Computing Surveys Volume 56, Issue 7 Article No.: 173pp 1–35 https://doi.org/10.1145/3626234
11. Didar Zowghi, Muneera Bano (2024), “AI for All: Diversity and Inclusion in AI”, Journal of AI and Ethics (2024) https://link.springer.com/article/10.1007/s43681-024-00485-8

Under-Review and Archive Copies

1. Muneera Bano, Didar Zowghi, Vincenzo Gervasi, Rifat Ara Shams, (2024), “AI for All: Operationalising Diversity and Inclusion Requirements for AI Systems” Journal Paper Under Review. http://arxiv.org/abs/2311.14695
2. Muneera Bano, Didar Zowghi, Pip Shea, Georgina Ibara, (2024) “Investigating Responsible AI for Science Research: An Empirical Study” – Journal Paper Under Review. https://arxiv.org/pdf/2312.09561
3. Muneera Bano, Zahid, Chaudhri, Didar Zowghi, (2024) “Diplomacy in the age of Generative AI: Challenges and Opportunities” Journal Paper Under Review. https://arxiv.org/pdf/2401.05415 

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