With artificial intelligence continuing to advance, so too do the ethical concerns that can potentially negatively impact humans and the greater society. When these systems begin to interact with humans, these concerns become much more complex and much more important. The field of human-AI teaming provides a relevant example of how AI ethics can have significant and continued effects on humans. This paper reviews research in ethical artificial intelligence, as well as ethical teamwork through the lens of the rapidly advancing field of human-AI teaming, resulting in a model demonstrating the requirements and outcomes of building ethical human-AI teams. The model is created to guide the prioritization of ethics in human-AI teaming by outlining the ethical teaming process, outcomes of ethical teams, and external requirements necessary to ensure ethical human-AI teams. A final discussion is presented on how the developed model will influence the implementation of AI teammates, as well as the development of policy and regulation surrounding the domain in the coming years.
@inproceedings{flathmann2021modeling,
title = {Modeling and Guiding the Creation of Ethical Human-AI Teams},
author = {Flathmann, Christopher and Schelble, Beau G. and Zhang, Rui and McNeese, Nathan J.},
year = {2021},
booktitle = {ACM/AAAI AIES, 469–479},
doi = {10.1145/3461702.3462573}
}