23 citations · 57 across the 13 of their papers we have counts for
14 papers
Agent Design Pattern Catalogue: A Collection of Architectural Patterns for Foundation Model based Agents
Yue Liu, Sin Kit Lo, Qinghua Lu +5
Foundation model-enabled generative artificial intelligence facilitates the development and implementation of agents, which can leverage distinguished reasoning and language proces…
Towards Responsible Generative AI: A Reference Architecture for Designing Foundation Model based Agents
Qinghua Lu, Liming Zhu, Xiwei Xu +3
Foundation models, such as large language models (LLMs), have been widely recognised as transformative AI technologies due to their capabilities to understand and generate content,…
QB4AIRA: A Question Bank for AI Risk Assessment
Sung Une Lee, Harsha Perera, Boming Xia +5
The rapid advancement of Artificial Intelligence (AI), represented by ChatGPT, has raised concerns about responsible AI development and utilization. Existing frameworks lack a comp…
A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture
Qinghua Lu, Liming Zhu, Xiwei Xu +3
The recent release of large language model (LLM) based chatbots, such as ChatGPT, has attracted huge interest in foundation models. It is widely believed that foundation models wil…
A Reference Architecture for Designing Foundation Model based Systems
Qinghua Lu, Liming Zhu, Xiwei Xu +2
The release of ChatGPT, Gemini, and other large language model has drawn huge interests on foundations models. There is a broad consensus that foundations models will be the fundam…
Developing Responsible Chatbots for Financial Services: A Pattern-Oriented Responsible AI Engineering Approach
Qinghua Lu, Yuxiu Luo, Liming Zhu +3
The recent release of ChatGPT has gained huge attention and discussion worldwide, with responsible AI being a key topic of discussion. How can we ensure that AI systems, including…
Towards Concrete and Connected AI Risk Assessment (CAIRA): A Systematic Mapping Study
Boming Xia, Qinghua Lu, Harsha Perera +4
The rapid development of artificial intelligence (AI) has led to increasing concerns about the capability of AI systems to make decisions and behave responsibly. Responsible AI (RA…
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…