The field of computer vision is rapidly evolving, particularly in the context of new methods of neural architecture design. These models contribute to (1) the Climate Crisis - increased CO2 emissions and (2) the Privacy Crisis - data leakage concerns. To address the often overlooked impact the Computer Vision (CV) community has on these crises, we outline a novel ethical framework, \textit{P4AI}: Principlism for AI, an augmented principlistic view of ethical dilemmas within AI. We then suggest using P4AI to make concrete recommendations to the community to mitigate the climate and privacy crises.
@article{arxiv.2111.14062,
title = {P4AI: Approaching AI Ethics through Principlism},
author = {Andre Fu and Elisa Ding and Mahdi S. Hosseini and Konstantinos N. Plataniotis},
journal= {arXiv preprint arXiv:2111.14062},
year = {2021}
}