Navigating fairness: practitioners' understanding, challenges, and strategies in AI/ML development.
Empir. Softw. Eng., June, 2025
What Do AI/ML Practitioners Think About AI/ML Bias?
IEEE Softw., 2025
Challenges, adaptations, and fringe benefits of conducting software engineering research with human participants during the COVID-19 pandemic.
Empir. Softw. Eng., July, 2024
Ethics in AI through the practitioner's view: a grounded theory literature review.
Empir. Softw. Eng., May, 2024
Ethics in the Age of AI: An Analysis of AI Practitioners' Awareness and Challenges.
ACM Trans. Softw. Eng. Methodol., March, 2024
Raising AI Ethics Awareness through an AI Ethics Quiz for Software Practitioners.
CoRR, 2024
Teaching Software Ethics to Future Software Engineers.
Proceedings of the 46th International Conference on Software Engineering: Software Engineering Education and Training, 2024
Supplementary Material for Paper Titled "Challenges, Adaptations, and Fringe Benefits of Conducting Software Engineering Research with Human Participants during the COVID-19 Pandemic".
Dataset, December, 2023
What Would You do? An Ethical AI Quiz.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023
Ethics in AI through the Developer's Prism: A Socio-Technical Grounded Theory Literature Review and Guidelines.
CoRR, 2022
A Systematic Literature Mapping to Investigate the Role of IT in Knowledge Stock and Transfer.
Proceedings of the 22nd Pacific Asia Conference on Information Systems, 2018
Facilitating Knowledge Transfer based on a Resource Based View of Tacit Knowledge Stock: A Skills Assessment Perspective.
Proceedings of the Australasian Conference on Information Systems, 2018