EPISODE · Feb 16, 2026 · 1H 15M
Eamon McErlean & Joe Devon - AIMAC: The AI Model Accessibility Checker
from Accessibility and Gen AI Podcast · host Joe Devon, Jennison Asuncion, Eamon McErlean
OUTLINE:00:00 Opening Teaser00:50 Introduction02:23 The Importance and Goals of AIMAC06:03 Service Now's Priority for Accessibility12:09 Challenges of Developing AIMAC17:25 What is AIMAC and how does it function?21:41 Part of What Inspired AIMAC24:50 Using OpenRouter - The Unified Interface for LLMs29:08 AIMAC's Leaderboard of AI Models and How They Ranked37:03 Examples of System & User Prompts and the Generated HTML Pages39:56 Using AIMAC For Your Own LLM40:54 What Surprised Joe The Most (The Results)43:32 Webpage Previews Generated By All Models For Multiple Categories44:56 How To Provide Feedback or Contact Joe re: AIMAC48:56 Pareto Frontier Chart Measures Quality & Cost51:35 Demonstration of How AIMAC Benefits Screen Readers For People Who Are Visually Impaired01:06:07 Results of Using MoonshotAI: Kimi K2.501:09:57 Top 6 Accessibility Issues Caused By AI Models01:11:58 How Em Dashes Generated by AI Model Affects Accessibility01:14:13 Wrap Up--EPISODE LINKS:AIMAC: The AI Model Accessibility Checkerhttps://aimac.aiServiceNow Accessibility Statementhttps://www.servicenow.com/accessibility-statement.htmlGAAD Foundationhttps://gaad.foundationAccessibility at ServiceNowhttps://www.youtube.com/playlist?list=PLCOmiTb5WX3q5qCG_QqYip2IZrvao7BwpWebpage Sample:https://aimac.ai/output/reports/current/assets/html/gemini-3-pro-preview/sports-1408Axe-core - Accessibility engine for automated Web UI testinghttps://github.com/dequelabs/axe-coreA11y LLM Evalhttps://microsoft.github.io/a11y-llm-eval-report/CodeGen Model Eval and Refine Toolshttps://github.com/aarongustafson/CodeGen-Model-Eval-and-Refine-ToolsEvincedhttps://www.evinced.comWebAIM Million - The 2025 report on the accessibility of the top 1,000,000 home pageshttps://webaim.org/projects/million/ArcTouch - The State of Mobile App Accessibility Reporthttps://arctouch.com/state-of-mobile-app-accessibilityOpenRouterhttps://openrouter.aiMoonshot AIhttps://www.moonshot.aiGithub - AI Model Accessibility Checkerhttps://github.com/GAAD-Foundation/AIMACMiniMax-M1 - The world's first open-weight, large-scale hybrid-attention reasoning model.https://github.com/MiniMax-AI/MiniMax-M1The Pareto Frontier For AI Agentshttps://cobusgreyling.substack.com/p/the-pareto-frontier-for-ai-agentsEm Dash, En Dash and Hyphen: The Guide I Neededhttps://hrot.substack.com/p/em-dash-en-dash-and-hyphen-the-guideEamon McErlean on LinkedInhttps://www.linkedin.com/in/emcerlean/Joe Devon on LinkedInhttps://www.linkedin.com/in/joedevon/Jennison Asuncion on LinkedInhttps://www.linkedin.com/in/jennison/
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Hosts Eamon McErlean (VP & Global Head of Digital Accessibility and Globalization at ServiceNow) and Joe Devon (Co-Founder of GAAD) present an overview of AIMAC, the AI Model Accessibility Checker. Launched by Service Now and the GAAD Foundation in May 2025, AIMAC is an open‑source framework designed to evaluate how accurately different AI models generate accessible HTML code. AIMAC prompts 37 models to generate pages across 28 categories with no accessibility guidance. Then it runs Axe-core, the accessibility testing engine used by Microsoft, Google, and most major tech companies, to count violations against WCAG 2.2 Level AA (the standard required by US and EU accessibility laws). Jennison Asuncion (Head of Accessibility at LinkedIn and Co-Founder of GAAD) joins Eamon and Joe to demonstrate how he uses a screen reader and reveals how common AI coding errors, such as missing alt text or unlabeled form fields, create barriers for blind users.
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Eamon McErlean & Joe Devon - AIMAC: The AI Model Accessibility Checker
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