93 citations · 385 across the 72 of their papers we have counts for
6 papers · 1 filter
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…
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…
Test-takers have a say: understanding the implications of the use of AI in language tests
Dawen Zhang, Thong Hoang, Shidong Pan +6
Language tests measure a person's ability to use a language in terms of listening, speaking, reading, or writing. Such tests play an integral role in academic, professional, and im…
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects
Conrad Sanderson, David Douglas, Qinghua Lu
Many sets of ethics principles for responsible AI have been proposed to allay concerns about misuse and abuse of AI/ML systems. The underlying aspects of such sets of principles in…
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…
AI Ethics Principles in Practice: Perspectives of Designers and Developers
Conrad Sanderson, David Douglas, Qinghua Lu +7
As consensus across the various published AI ethics principles is approached, a gap remains between high-level principles and practical techniques that can be readily adopted to de…