Beyond Algorithmic Scapegoating - Fostering Cultures of Algorithmic Responsibility Through Administrative Law and Design

Explore a keynote address from FAT* 2019 that delves into the concept of algorithmic responsibility through the lens of administrative law and design. Examine how speaker Deirdre Mulligan from the University of California, Berkeley, challenges the notion of algorithmic scapegoating and proposes fostering a culture of accountability. Investigate case studies involving gender bias, criminal justice, and urban planning to understand the implications of algorithmic decision-making. Analyze the role of policymaking, procurement processes, and legal frameworks in shaping responsible AI practices. Discover potential interventions, including the application of administrative law principles and the "arbitrary and capricious" standard. Consider the importance of expertise, contestability, and public participation in AI governance. Reflect on the challenges faced by legal practitioners and government agencies in addressing algorithmic bias. Gain insights into innovative approaches for improving public engagement in technology policy decisions.