PDF: Arithmic Accountability, a new primer from Data & Society

[Ryan Goble]

Algorithmic Accountability, a new primer from Data & Society, examines the process of assigning responsibility for harm when algorithmic decision-making results in discriminatory and inequitable outcomes. Prepared for today's Tech Algorithm Briefing for the Progressive Congressional Caucus, the primer explores debates about algorithms and accountability across several key ethical dimensions, including fairness and bias; opacity and transparency; and lack of standards for auditing.