AI Risk Atlas Prototype/DemoUnofficial independent experiment. Not an official xAI product. Scores can be wrong.

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12automated residualNeeds reviewAt or under 12

Opaque AI inside electoral infrastructure

Owner · Election officials and platform civic teams

AffordanceImpact domainHarm-adjacent

Statement (NASA form)

Given that election risk is shifting from visible deepfakes to models inside registration, targeting, moderation, and possibly tabulation-adjacent systems, there is a possibility of an unauditable model changing who is reached, who is removed, or what is counted resulting in a democratic process that cannot be independently reconstructed after the fact.

Condition
election risk is shifting from visible deepfakes to models inside registration, targeting, moderation, and possibly tabulation-adjacent systems
Departure
an unauditable model changing who is reached, who is removed, or what is counted
Impact
a democratic process that cannot be independently reconstructed after the fact

VC + institute corroboration

Experimental share of compiled public capital that names this risk. Not a certified residual.

No compiled dollar or public database record is tagged to this card yet. That is a gap, not a clean bill.

Worst scenario
3×3
Probable × Major
Urgency
3
Priority · This quarter
Inherent composite
15
Worst 12 + urgency
Residual composite
12
Under working threshold

Visible fakes can be argued about. A ranker that quietly suppresses one community’s get-out-the-vote, or a registration chatbot that misdirects a class of voters, leaves no clip to play on the evening news. That is the more durable civic failure.

Pathway fragment

Simple upstream → via → downstream notes. Not a causal graph. Experimental.

Upstream
  • Opaque civic software
  • Model-backed voter help
  • Thin paper backup in some places
Via
  • Uncertified model on the official path
  • Un-auditable count
Downstream
  • Contest that cannot be reconstructed
  • Delegitimised result

Assumptions · Paper backups are counted where they exist. Ranked residual still assumes software can be the story.

Human calibration

Override is stored on this desk only. It does not make the score official.

Failure scenarios

Each scenario has its own likelihood and consequence. The risk takes the most severe cell. Residual applies implemented mitigations to every scenario, then re-ranks.

Ranker quietly changes the electorate it reaches

3Probable4Critical12

Targeting or feed models suppress a legally protected class of political speech.

Helpdesk model misdirects voters

3Probable3Major9

A chatbot gives wrong deadlines or locations to a language community.

Model touches a tabulation-adjacent system

2Remote5Catastrophic10

Even a perceived touch is enough to delegitimise a count.

Examples

From deepfakes to infrastructure

Analysts now warn that the live risk is opaque AI inside electoral infrastructure, not only the viral fake.

Moderation as turnout

A civic group’s content taken down by an automated moderator in the last week is a turnout event, not a trust-and-safety ticket.

Chatbots as clerks

Jurisdictions experimenting with model-backed voter-help desks create a new, uncertified poll worker.

Contributing signals

X posts on the desk that evidence this risk. A signal can contribute to more than one risk.

Warning that election risk is moving into opaque infrastructure.

Mitigations

Residual assumes only items marked in place. Highlighted rows are the remaining work needed to reach a composite of 12.

In progressPlatform civic teams

Pre-certified civic ranker audits

Platforms that run political reach publish an independent audit before the election window.

Platform civic teams · expedited 6 weeks · normal 5 months · −1 L · −0 C · −1 U