Navigating Data Politics at the Heart of AI Policy: A Workshop Summary from the Data Fluencies Project
As AI continues to dominate public attention and private investment worldwide, regulatory scrutiny of every point in the âAI stackâ becomes more pressing. The data that defines many AI products differs from that of other computing technologies, requiring a new set of policy interventions. Data raises fundamental questions on the sustainability of the âbigger is betterâ paradigm, the worldview of the models, the standards of development, and the capturing of human preferences in feedback. Questions about regulation and policy are essential when the paradigms driving AI development incentivize the reckless and often invasive collection of data about people and communities.