This paper presents a set of intersectional feminist principles for
conducting equitable, ethical, and sustainable AI research. In Data Feminism
(2020), we offered seven principles for examining and challenging unequal power
in data science. Here, we present a rationale for why feminism remains deeply
relevant for AI research, rearticulate the original principles of data feminism
with respect to AI, and introduce two potential new principles related to
environmental impact and consent. Together, these principles help to 1) account
for the unequal, undemocratic, extractive, and exclusionary forces at work in
AI research, development, and deployment; 2) identify and mitigate predictable
harms in advance of unsafe, discriminatory, or otherwise oppressive systems
being released into the world; and 3) inspire creative, joyful, and collective
ways to work towards a more equitable, sustainable world in which all of us can
thrive.

通过引入新的原则并与环境影响和同意相关，本文在探讨为进行公平、道德和可持续的 AI 研究而提出的交叉女权主义原则的基础上，阐述了女权主义对 AI 研究的重要性，并旨在解决 AI 研究中不平等、非民主、剥削和排斥力量，预防不安全、歧视或压迫性系统释放到世界上产生可预测的危害，并激发创造性、快乐和集体的方式，致力于建立一个更具公平、可持续的世界，让我们所有人都能蓬勃发展。