activity
20182026
most citedAlignment of Stakeholder Expectations about User Involvement in Agile Software Development

22 citations · 115 across the 25 of their papers we have counts for

collaborators
Showing 2023Show all

9 papers · 1 filter

cs.CY2023★ 2 cited

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…

cs.CY2023★ 12 cited

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…

cs.AI2023★ 5 cited

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…

cs.AI2023★ 1 cited

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…

cs.CY2023★ 2 cited

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…

cs.AI2023

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…

cs.AI2023★ 7 cited

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…

cs.SE2023★ 12 cited

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…

cs.AI2023★ 8 cited

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…