Skill UI

This guide helps researchers determine the most appropriate academic venue for their responsible AI work. It provides detailed criteria and rigorous testing methods (like the Delete-the-equity test) to assess whether fairness, accountability, or transparency is a primary, core contribution, guiding authors away from merely 'bolted-on' ethical framing.

This guide helps researchers determine if their project genuinely involves machine learning and computer system co-design. It outlines criteria, such as the "co-design test," and provides a routing table to decide whether the work belongs at MLSys compared to general systems conferences (OSDI, SOSP) or pure ML venues (ICML, NeurIPS).