NBT (No-Boundary Thinking): Needed to Attend to Ethical Implications of Data and AI
Abstract
In this era of Big Data and AI, expertise in multiple aspects of data, computing, and the domains of application is needed. This calls for teams of experts with different training and perspectives. Because data analysis can have serious ethical implications, it is important that these teams are well and deeply integrated. No-Boundary Thinking (NBT) teams can provide support for team formation and maintenance, thereby attending to the many dimensions of the ethics of data and analysis. In this NBT workshop session, we discuss the ethical concerns that arise from the use of data and AI, and the implications for team building; and provide and brainstorm suggestions for ethical data enabled science and AI.
Department(s)
Cooperative Engineering Program
Document Type
Conference Proceeding
DOI
10.1145/3535508.3545595
Keywords
Convergence research, Ethical AI, No-boundary thinking, Team science
Publication Date
8-7-2022
Recommended Citation
Obafemi-Ajayi, Tayo; Peckham, Joan; Perkins, Andy; and Huang, Xiuzhen, "NBT (No-Boundary Thinking): Needed to Attend to Ethical Implications of Data and AI" (2022). Faculty Scholarship. 740.
https://bearworks.missouristate.edu/articles00/740
Journal Title
Proceedings of the 13th ACM International Conference on Bioinformatics Computational Biology and Health Informatics Bcb 2022
