Useful work,
read in context.
Standards, frameworks, and research referenced across our writing, with a short note on what each source contributes.
IFCN Code of Principles
A public standard for transparency, fairness, sourcing, funding, and corrections.
First Draft verification guide
Practical methods for checking where information came from and what context it may be missing.
Precision and recall
Two useful measures for understanding what a classifier includes and what it misses.
On calibration of modern neural networks
A widely cited paper on the gap between a model’s confidence and its observed correctness.
C2PA overview
The coalition developing the open technical standard behind Content Credentials.
C2PA membership
The coalition’s current directory of organizations participating in C2PA.
Content Authenticity Initiative
A cross-industry community and open-source effort supporting Content Credentials.
Joint Development Foundation
The nonprofit framework under which C2PA develops its open specification.
C2PA specification
The technical standard behind signed assertions about the origin and editing history of digital content.
NIST AI Risk Management Framework
A practical framework for governing, mapping, measuring, and managing AI risk.
OECD AI Principles
International principles for AI that is transparent, robust, accountable, and centered on people.