no code implementations • 6 Feb 2023 • Edgar W. Jatho, Logan O. Mailloux, Eugene D. Williams, Patrick McClure, Joshua A. Kroll
Many stakeholders struggle to make reliances on ML-driven systems due to the risk of harm these systems may cause.
no code implementations • 8 Nov 2022 • Edgar W. Jatho III, Logan O. Mailloux, Shalaleh Rismani, Eugene D. Williams, Joshua A. Kroll
Governments, industry, and academia have undertaken efforts to identify and mitigate harms in ML-driven systems, with a particular focus on social and ethical risks of ML components in complex sociotechnical systems.
no code implementations • 23 Jan 2021 • Joshua A. Kroll
We examine the various ways in which the principle of traceability has been articulated in AI principles and other policy documents from around the world, distill from these a set of requirements on software systems driven by the principle, and systematize the technologies available to meet those requirements.
