22 citations · 86 across the 20 of their papers we have counts for
21 papers
AI Transparency: Governance Compliance or Stakeholder Requirements?
Muneera Bano, Didar Zowghi
Transparency is increasingly mandated for public-sector AI systems, with organisations required to publish statements describing their AI use and oversight arrangements. However, t…
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: Insights from a Survey of AI/ML Practitioners
Sidra Malik, Muneera Bano, Didar Zowghi
Growing awareness of social biases and inequalities embedded in Artificial Intelligence (AI) systems has brought increased attention to the integration of Diversity and Inclusion (…
A Qualitative Study of User Perception of M365 AI Copilot
Muneera Bano, Didar Zowghi, Jon Whittle +4
Adopting AI copilots in professional workflows presents opportunities for enhanced productivity, efficiency, and decision making. In this paper, we present results from a six month…
What Does a Software Engineer Look Like? Exploring Societal Stereotypes in LLMs
Muneera Bano, Hashini Gunatilake, Rashina Hoda
Large language models (LLMs) have rapidly gained popularity and are being embedded into professional applications due to their capabilities in generating human-like content. Howeve…
Survey Insights on M365 Copilot Adoption
Muneera Bano, Didar Zowghi, Jon Whittle +4
Australia's National Science Agency conducted a six-month trial of M365 Copilot starting in January 2024 as part of an Australian Government initiative. Three hundred licenses were…
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…
Envisioning Responsible Quantum Software Engineering and Quantum Artificial Intelligence
Muneera Bano, Shaukat Ali, Didar Zowghi
The convergence of Quantum Computing (QC), Quantum Software Engineering (QSE), and Artificial Intelligence (AI) presents transformative opportunities across various domains. Howeve…
AI for All: Identifying AI incidents Related to Diversity and Inclusion
Rifat Ara Shams, Didar Zowghi, Muneera Bano
The rapid expansion of Artificial Intelligence (AI) technologies has introduced both significant advancements and challenges, with diversity and inclusion (D&I) emerging as a criti…
The Role of Generative AI in Global Diplomatic Practices: A Strategic Framework
Muneera Bano, Zahid Chaudhri, Didar Zowghi
As Artificial Intelligence (AI) transforms the domain of diplomacy in the 21st century, this research addresses the pressing need to evaluate the dualistic nature of these advancem…
Responsible AI Governance: A Systematic Literature Review
Amna Batool, Didar Zowghi, Muneera Bano
As artificial intelligence transforms a wide range of sectors and drives innovation, it also introduces complex challenges concerning ethics, transparency, bias, and fairness. The…
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…
AI for All: Operationalising Diversity and Inclusion Requirements for AI Systems
Muneera Bano, Didar Zowghi, Vincenzo Gervasi +1
As Artificial Intelligence (AI) permeates many aspects of society, it brings numerous advantages while at the same time raising ethical concerns and potential risks, such as perpet…
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…
Exploring Qualitative Research Using LLMs
Muneera Bano, Didar Zowghi, Jon Whittle
The advent of AI driven large language models (LLMs) have stirred discussions about their role in qualitative research. Some view these as tools to enrich human understanding, whil…
Requirements Engineering Framework for Human-centered Artificial Intelligence Software Systems
Khlood Ahmad, Mohamed Abdelrazek, Chetan Arora +3
[Context] Artificial intelligence (AI) components used in building software solutions have substantially increased in recent years. However, many of these solutions focus on techni…
Requirements Elicitation and Modelling of Artificial Intelligence Systems: An Empirical Study
Khlood Ahmad, Mohamed Abdelrazek, Chetan Arora +2
Artificial Intelligence (AI) systems have gained significant traction in the recent past, creating new challenges in requirements engineering (RE) when building AI software systems…
Requirements Practices and Gaps When Engineering Human-Centered Artificial Intelligence Systems
Khlood Ahmad, Mohamed Abdelrazek, Chetan Arora +2
[Context] Engineering Artificial Intelligence (AI) software is a relatively new area with many challenges, unknowns, and limited proven best practices. Big companies such as Google…
Requirements Engineering for Artificial Intelligence Systems: A Systematic Mapping Study
Khlood Ahmad, Mohamed Abdelrazek, Chetan Arora +2
[Context] In traditional software systems, Requirements Engineering (RE) activities are well-established and researched. However, building Artificial Intelligence (AI) based softwa…
Alignment of Stakeholder Expectations about User Involvement in Agile Software Development
Jim Buchan, Muneera Bano, Didar Zowghi +2
Context: User involvement is generally considered to contributing to user satisfaction and project success and is central to Agile software development. In theory, the expectations…