DTPR for AI Workshop
DTPR for AI, a standard for making AI legible to everyone
AI is being deployed in the places we live and move through, but the documents meant to explain it (model cards, algorithmic impact assessments, agency disclosures) are dense, technical, and written for experts. The people these systems are actually used on are left out of the conversation.
DTPR for AI is a new legibility standard that acts as a translation layer between the technical documents produced by model makers and government agencies, and the public. It makes AI legible by visually centering the questions people actually ask: What is this system doing? Who’s accountable for it? Does it use my personal data? What are my rights?
In this live webinar, we’ll walk through how the standard makes AI legible and why it matters:
AI as verbs, not jargon: describing a system as sensing, understanding, deciding, creating, acting, or moving instead of just “AI”
A shared visual language: how DTPR’s icons, color, and layout turn a complex system into a legible flow of data and responsibility
Naming real risks: mapping harms to actual impacts on people, using the AIAAIC harms taxonomy
The standard in action: how we translated Canada’s AI Register and NYC’s Algorithmic Tool Report into DTPR for AI
What’s next: canvases, workshop cards, and using DTPR to help communities decide what AI they’ll accept
Come with your questions — there’ll be time for discussion.
🔗 Explore the standard: dtpr.ai
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