Why we should all be worried about AI in elections. Deepfakes dominate headlines, but the real danger lies in opaque AI systems that make up election infrastructure.
AffordanceImpact domainBoth
Signal register
Signals from X
Public posts, experimentally classified on three axes: public impact, the systems that fail, and the industries in the blast radius. Estimates only — not a formal assessment.
Methodology — experimental estimates
Scores are automated, experimental estimates from public X posts and a hand-written seed corpus. They are not formal risk assessments, not certified, and not suitable for compliance or operational decisions.
Consequence, likelihood, and urgency are 1–5 judgements applied by this project, not by a standards body. Residual scores assume only the mitigations marked in place. A signed-in reviewer can override residual and mark an item reviewed — that override is still unofficial. Aspect tags (capability, domain knowledge, affordance, impact domain) are a lightweight PRA aid, not a formal hazard analysis.
Signals
75
Critical
18
High
40
Industries
15
India’s elections are a glimpse of the AI-driven future of democracy. Politicians are using audio and video deepfakes of themselves to reach voters—who may have no idea they’ve been talking to a clone.
AffordanceImpact domainBoth