6 papers
AgentArcEval: An Architecture Evaluation Method for Foundation Model based Agents
Qinghua Lu, Dehai Zhao, Yue Liu +6
The emergence of foundation models (FMs) has enabled the development of highly capable and autonomous agents, unlocking new application opportunities across a wide range of domains…
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…
Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective
Dawen Zhang, Boming Xia, Yue Liu +6
The advent of Generative AI has marked a significant milestone in artificial intelligence, demonstrating remarkable capabilities in generating realistic images, texts, and data pat…
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…
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…