Author: Jamila Smith-Loud

Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing

This paper introduces a framework for algorithmic auditing that supports artificial intelligence system development end-to-end, to be applied throughout the internal organization development lifecycle.

• ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT)
• 2020