Summary
This project introduces a governance framework to improve interpretability and ethical alignment in AI routing systems. It tackles challenges like late-stage ethics integration, disconnected fairness metrics, and ambiguous accountability by embedding ethical governance throughout all deployment stages.
The framework utilizes three dedicated “Judges” (Accessibility, Carbon, and Bias) to evaluate AI outputs against WCAG 2.2, SCI, and OWASP GenAI standards. These assessments guide routing decisions and ensure ethical oversight is measurable and auditable.
Aligned with Track 2: Intelligent Routing Systems, this solution helps AI teams address bias, environmental impact, and accessibility issues in real-time, fostering safer, fairer, and more sustainable AI systems prioritizing People + Planet + Parity.
Cite this work:
@misc {
title={
@misc {
},
author={
Joshua Williams
},
date={
6/2/25
},
organization={Apart Research},
note={Research submission to the research sprint hosted by Apart.},
howpublished={https://apartresearch.com}
}
