Machine Learning is everywhere. AI-evangelists promise that data-driven decision-making will not only boost organizational efficiency, it will also help make organizations fairer and advance social justice. Yet the effects of machine learning on social justice, human rights, and democracy will depend not on the technology itself, but on human choices about how to design and deploy it. Among the most important is whether and how to ensure systems do not reproduce and entrench pervasive patterns of inequality.
The authors argue that we need radical civil rights reforms to regulate AI in the digital age, and must return to the roots of civil rights. This paper is adapted from Josh Simons’s forthcoming book, Algorithms for the People: Democracy in the Age of AI, published by Princeton University Press this Fall.
Download the paper, “A More Equal Future?” here.