Generative AI working group

Da-M-I-C-Us A classification framework for AI solutions

Da-M-I-C-Us is a classification scheme created from the VES Technology Committee’s work on generative AI. Its five dimensions are Data, Model, Infrastructure, Code and Use. Together they provide a common language to enable anyone to say more precisely what an AI deployment is, and the ability to define a policy to describe what is actually allowed.

Da-M-I-C-Us v1.0, draft 2 · working material, not a ratified VES standard.

The five dimensions

5 axes · 22 codes · v1.0 draft 2
Dimension Codes The question it answers
Data PD LD ND WD UD What was the model trained on, and are those rights cleared for this use?
Model PM OM CM RM Who owns or licenses the weights, and on what terms are they available?
Infrastructure SI EI DI MI Where does inference run: your machines, the edge, or someone else’s service?
Code PC OC CC RC UC What is the licence status of the surrounding software and pipeline?
Use BU PU IU DU What is it actually being used for on this show?

Only the full five-code string can provide a verdict. The first four describes a capability. The fifth code makes it a deployment that can be assessed against policy.

Prototype tools

Key: how to read the codes, colors and results →

VES events

Previous VES AI webinars

The DaMICUs classification work follows a run of public sessions on what is actually happening with generative AI within the visual effects community.

  1. 01 Real Applications of Generative Artificial Intelligence in Visual Effects What is in production today, shown by the people running it.
  2. 02 Generative Artificial Intelligence in VFX Software: Now and In the Future How the tool vendors are building it into the pipeline.
  3. 03 How Generative Artificial Intelligence Might Affect Visual Effects Now and In the Future The longer view: craft, employment and the shape of the work.