22 citations · 115 across the 25 of their papers we have counts for
26 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…
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…
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…
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…
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…
A Model-Driven Approach to Reengineering Processes in Cloud Computing
Mahdi Fahmideh, John Grundy, Ghassan Beydoun +3
The reengineering process of large data-intensive legacy software applications to cloud platforms involves different interrelated activities. These activities are related to planni…
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…
Managing Requirements Change the Informal Way: When Saying 'No' is Not an Option
Waqar Hussain, Didar Zowghi, Tony Clear +2
Software has always been considered as malleable. Changes to software requirements are inevitable during the development process. Despite many software engineering advances over se…
IoT Smart City Architectures an Analytical Evaluation
Mahdi Fahmideh, Didar Zowghi
While several IoT architectures have been proposed for enabling smart city visions, not much work has been done to assess and compare these architectures. By applying our proposed…
An Exploration of IoT Platform Development
Mahdi Fahmideh, Didar Zowghi
Internet of Things platforms are key enablers for smart city initiatives, targeting the improvement of citizens quality of life and economic growth. As IoT platforms are dynamic, p…
ELICA: An Automated Tool for Dynamic Extraction of Requirements Relevant Information
Zahra Shakeri Hossein Abad, Vincenzo Gervasi, Didar Zowghi +1
Requirements elicitation requires extensive knowledge and deep understanding of the problem domain where the final system will be situated. However, in many software development pr…