23 citations · 57 across the 13 of their papers we have counts for
7 papers · 1 filter
Automated Detection, Categorisation and Developers' Experience with the Violations of Honesty in Mobile Apps
Humphrey O. Obie, Hung Du, Kashumi Madampe +7
Human values such as honesty, social responsibility, fairness, privacy, and the like are things considered important by individuals and society. Software systems, including mobile…
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…
Towards Implementing Responsible AI
Conrad Sanderson, Qinghua Lu, David Douglas +3
As the deployment of artificial intelligence (AI) is changing many fields and industries, there are concerns about AI systems making decisions and recommendations without adequatel…
Software Engineers Response to Public Crisis: Lessons Learnt from Spontaneously Building an Informative COVID-19 Dashboard
Han Wang, Chao Wu, Chunyang Chen +3
The Coronavirus disease 2019 (COVID-19) outbreak quickly spread around the world, resulting in over 240 million infections and 4 million deaths by Oct 2021. While the virus is spre…
Investigating End-Users' Values in Agriculture Mobile Applications Development: An Empirical Study on Bangladeshi Female Farmers
Rifat Ara Shams, Mojtaba Shahin, Gillian Oliver +4
The omnipresent nature of mobile applications (apps) in all aspects of daily lives raises the necessity of reflecting end-users values (e.g., fairness, honesty, etc.) in apps. Howe…
On the Violation of Honesty in Mobile Apps: Automated Detection and Categories
Humphrey O. Obie, Idowu Ilekura, Hung Du +5
Human values such as integrity, privacy, curiosity, security, and honesty are guiding principles for what people consider important in life. Such human values may be violated by mo…
Responsible-AI-by-Design: a Pattern Collection for Designing Responsible AI Systems
Qinghua Lu, Liming Zhu, Xiwei Xu +1
Although AI has significant potential to transform society, there are serious concerns about its ability to behave and make decisions responsibly. Many ethical regulations, princip…