P4AI: Approaching AI Ethics through Principlism

TL;DR

This paper introduces P4AI, a principlistic ethical framework designed to guide the computer vision community in addressing climate and privacy crises caused by AI development.

Contribution

It proposes a novel principlistic approach, P4AI, to ethically evaluate and mitigate AI's impact on climate change and privacy issues.

Findings

P4AI offers concrete ethical guidelines for AI development.

The framework aims to reduce CO2 emissions and data leakage risks.

It encourages community adoption of principled AI practices.

Abstract

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.