15 citations · 25 across the 8 of their papers we have counts for
9 papers
A Structured Approach to Safety Case Construction for AI Systems
Sung Une Lee, Liming Zhu, Md Shamsujjoha +4
Safety cases, structured arguments that a system is acceptably safe, are becoming central to the governance of AI systems. Yet, traditional safety-case practices from aviation or n…
MARIA: A Framework for Marginal Risk Assessment without Ground Truth in AI Systems
Jieshan Chen, Suyu Ma, Qinghua Lu +2
Before deploying an AI system to replace an existing process, it must be compared with the incumbent to ensure improvement without added risk. Traditional evaluation relies on grou…
Achieving Responsible AI through ESG: Insights and Recommendations from Industry Engagement
Harsha Perera, Sung Une Lee, Yue Liu +5
As Artificial Intelligence (AI) becomes integral to business operations, integrating Responsible AI (RAI) within Environmental, Social, and Governance (ESG) frameworks is essential…
Integrating ESG and AI: A Comprehensive Responsible AI Assessment Framework
Sung Une Lee, Harsha Perera, Yue Liu +5
Artificial Intelligence (AI) is a widely developed and adopted technology across entire industry sectors. Integrating environmental, social, and governance (ESG) considerations wit…
Responsible AI Question Bank: A Comprehensive Tool for AI Risk Assessment
Sung Une Lee, Harsha Perera, Yue Liu +5
The rapid growth of Artificial Intelligence (AI) has underscored the urgent need for responsible AI practices. Despite increasing interest, a comprehensive AI risk assessment toolk…
Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI Accountability
Boming Xia, Qinghua Lu, Liming Zhu +3
Artificial Intelligence (AI), particularly through the advent of large-scale generative AI (GenAI) models such as Large Language Models (LLMs), has become a transformative element…
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…
Design Choices for Data Governance in Platform Ecosystems: A Contingency Model
Sung Une Lee, Liming Zhu, Ross Jeffery
As platform ecosystems are growing by platform users' data, the importance of data governance has been highlighted. In particular, how to share control and decision rights with pla…
Data Governance for Platform Ecosystems: Critical Factors and the State of Practice
Sung Une Lee, Liming Zhu, Ross Jeffery
Recently, platform ecosystem has received attention as a key business concept. Sustainable growth of platform ecosystems is enabled by platform users supplying and/or demanding con…