P4AI: Approaching AI Ethics through Principlism
It addresses ethical issues in AI for the computer vision community, but the approach is incremental as it adapts existing ethical principles.
The paper tackles the environmental and privacy impacts of computer vision models by proposing P4AI, a principlism-based ethical framework, and uses it to suggest mitigation strategies for the climate and privacy crises.
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.