23 citations · 57 across the 13 of their papers we have counts for
6 papers · 1 filter
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…