
When AI Writes Faster Than We Can Read: James Davis on MAGE and Making Course Materials Accessible
Host Kristin Malavenda interviews Purdue ECE Professor James Davis about what happens when AI can generate software faster than humans can review it and how this may reshape software engineering. Davis describes building Docable, a beta website that ingests PowerPoint, Word, Excel, PDFs and other formats to produce accessibility-remediated versions aligned with ADA-related DOJ rules and WCAG 2.1 AA, motivated by the high time and cost of manual remediation for STEM course materials. He says AI image understanding can generate detailed alt text and equation descriptions, but scaling required using coding agents (e.g., ChatGPT and Claude) to build a roughly half‑million‑line system in months. To trust agent-written code, Davis introduces Model-based Agentic Software Engineering (MAGE): make obligations explicit as engineering models, then use deterministic alignment checks to validate implementations, treating AI outputs as candidates, not verdicts. He argues this shifts emphasis from syntax-level coding to modeling, validation, and adapting to change, enabling higher-quality software and new small-market tools.
00:00 AI Outpaces Reviewers
00:45 Accessibility Deadline Shock
02:56 WCAG And Real Costs
05:24 ChatGPT As Accessibility Aid
06:45 Scaling Beyond One Class
10:36 Building Docable Fast
12:17 Trusting Agent-Written Code
12:38 Models Over Code Reading
20:41 MAGE Governance And Alignment
24:17 Candidate Not Verdict
25:17 Candidates Not Answers
25:53 What MAGE Means
26:37 Make Tacit Knowledge Explicit
28:22 Teach Checks And Alignment
29:39 Slide Deck Modeling Example
32:34 Human Facing Limits
33:08 Machine-Facing Freedom
35:25 Sweet Spot And Safety Critical
36:28 Docable As Case Study
38:54 Are Engineers Obsolete
42:37 New Markets And Boutique Tools
45:46 Advice For Future Students
49:24 Closing Thanks And Links
Link to Jamie's blog on Medium: https://medium.com/@davisjam
Purdue ECE: http://engineering.purdue.edu/ECE
Facebook: http://facebook.com/purdueece
Instagram: https://instagram.com/purdue.ece
LinkedIn: https://www.linkedin.com/company/purdue-ece
Purdue University's Elmore Family School of Electrical and Computer Engineering, founded in 1888, is one of the nation's largest ECE departments and consistently ranks among the best.
Fler avsnitt från "Engineering Innovations"



Missa inte ett avsnitt av “Engineering Innovations” och prenumerera på det i GetPodcast-appen.








