Word tree. Statements that define AI (“AI is …”) or speculate about it (“AI will …”), by company and year. Type a phrase to root the tree on it.
Conceptual change. How much companies reword their definitions of conducts and risks from one year to the next.
Figures from the original interface that the paper does not use: the corpus itself, the actors most often named across all components, and the conceptual clusters among conducts and risks.
Who writes alignment documents? Who is cited?
Document colour = author type. Click an actor in the sidebar to highlight the documents they author; click again (+ cited) to also see the documents that cite them via specific_risk_conduct_actor, training-actor, benchmark-author or external-evaluator.
The most-mentioned actors by type. Pick a type and how many to show.
| # | Actor | Type | Role | Based in | Collaborated with | Documents | Mentions |
|---|
Pick a conduct or risk. See how it is defined across companies and time, which other concepts it travels with, and which actors have shaped its definition together.
Central node = the selected category. Surrounding nodes = every item in it, coloured by actor type. Drag, scroll to zoom, ⊕ to recenter.
Actors involved in defining, training and benchmarking — coloured by actor type. Click a node to inspect; drag to move, scroll to zoom, ⊕ to recenter.