most citedEthics in the Age of AI: An Analysis of AI Practitioners' Awareness and Challenges

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2024

What do AI/ML practitioners think about AI/ML bias?

Aastha Pant, Rashina Hoda, Burak Turhan +1

AI leaders and companies have much to offer to AI/ML practitioners to support them in addressing and mitigating biases in the AI/ML systems they develop. AI/ML practitioners need t…

cs.SE2024

Enablers and Barriers of Empathy in Software Developer and User Interaction: A Mixed Methods Case Study

Hashini Gunatilake, John Grundy, Rashina Hoda +1

Software engineering (SE) requires developers to collaborate with stakeholders, and understanding their emotions and perspectives is often vital. Empathy is a concept characterisin…

cs.SE2024

Challenges, Adaptations, and Fringe Benefits of Conducting Software Engineering Research with Human Participants during the COVID-19 Pandemic

Anuradha Madugalla, Tanjila Kanij, Rashina Hoda +4

The COVID-19 pandemic changed the way we live, work and the way we conduct research. With the restrictions of lockdowns and social distancing, various impacts were experienced by m…

cs.CY20232 cited

Ethics in the Age of AI: An Analysis of AI Practitioners' Awareness and Challenges

Aastha Pant, Rashina Hoda, Simone V. Spiegler +2

Ethics in AI has become a debated topic of public and expert discourse in recent years. But what do people who build AI - AI practitioners - have to say about their understanding o…

cs.SE20231 cited

Empathy Models and Software Engineering -- A Preliminary Analysis and Taxonomy

Hashini Gunatilake, John Grundy, Ingo Mueller +1

Empathy is widely used in many disciplines such as philosophy, sociology, psychology, health care. Ability to empathise with software end-users seems to be a vital skill software d…