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- AI Ethics
- Computational Social Science
- Human-computer Interaction
- Visual Analytics
Data-driven exploration and explanation of ethics cases in business world
This project funded by industry partner addresses the ethical issues in business world from a data scientific perspective. The ethics cases in big data are mainly reflected in narratives of conflicts, negotiation contents, trial processes and results, professional comments, public opinions, analytical judgments, and constantly updated lists of "should do" and "should not do". However, without AI support, the human brain alone cannot see through the intricate and varying strengths and weaknesses of connections among the elements of a case or among different cases. In this project we attempt to develop an interactive visual analytical platform that can combine the data-driven deep learning ability with knowledge-driven human's reasoning and interpretation ability. The platform will enable us to perform tasks along a value chain such as automatic collection of ethics cases from the globally accessible public media and social media, analysis and clustering of collected data, creation of a specific ontology and knowledge graph, and visual explanation of the knowledge graph. Being driven by big data, the platform may serve the general objectives for different stakeholders in the business world.
- Seminar Cartography - Mining Twitter to Assess the social implications of AI ethical issues (Tan, 2022)
Conference & Presentation
Mengyi Wei, Zhixuan Zhou. AI Ethics Issues in Real World: Evidence from AI Incident Database. The 56th Hawaii International Conference on System Sciences (HICSS), January 3-6, 2023, Hawaii, USA.
Mengyi Wei. Social Implications in AI Ethics Issues. The 17th International Conference on Location Based Services, September 12-14, 2022, Munich, Germany.
The Best Paper Award. HICSS-56. 2023