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  • Welcome to the AIID
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Welcome to the
AI Incident Database

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3rd Circuit Revives Claim Hotels Conspired to Use AI to Hike Rates

Incident 1630: Atlantic City Casino-Hotels Allegedly Used Cendyn's Rainmaker AI to Coordinate and Inflate Room Rates

“3rd Circuit Revives Claim Hotels Conspired to Use AI to Hike Rates”Latest Incident Report
law.com2026-08-08

Hotel guests have another chance to prove allegations that several Atlantic City casinos conspired to fix prices using a common algorithm after the U.S. Court of Appeals for the Third Circuit broke with other lower courts to revive the case.

A three-judge Third Circuit panel ruled on Wednesday that the U.S. District Court for the District of New Jersey had "erred in failing to appreciate or recognize the nature of the conspiracy" in which Caesars Entertainment, MGM Resorts, Hard Rock International and other hotels allegedly agreed to use Cendyn's Rainmaker pricing software to hike rates.

"Th

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Oregon veterinary hospital sues tech company, claims AI misdiagnosis led to dog’s death

Incident 1631: Zoetis Vetscan Imagyst Allegedly Misclassified Dog's Cancerous Tumor, Leading to Second Surgery and Death

“Oregon veterinary hospital sues tech company, claims AI misdiagnosis led to dog’s death”
oregonlive.com2026-08-08

A veterinary hospital in The Dalles has sued an animal

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Investigating three real-world incidents in our cybersecurity evaluations

Incident 1627: Claude Opus 4.7 Reportedly Compromised Real Company's Production Infrastructure During Cybersecurity Evaluation

“Investigating three real-world incidents in our cybersecurity evaluations”
anthropic.com2026-08-07

In a review of our cybersecurity evaluation transcripts, we found three incidents in which a Claude model reached the internet from within or while interacting with a third-party evaluation environment, and then gained unauthorized access to the real systems of three different organizations.

Below we describe what happened, how it happened, and what we're changing. We encourage other AI labs to perform similar reviews. This post reflects our current understanding; we'll update it if any details change.

On July 21, OpenAI [disclosed](https://openai.com/index/hugging-face-model-evaluation-

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Investigating three real-world incidents in our cybersecurity evaluations

Incident 1628: Claude Mythos 5 Reportedly Published Malicious PyPI Package That Compromised Real Security Company During Evaluation

“Investigating three real-world incidents in our cybersecurity evaluations”
anthropic.com2026-08-07

In a review of our cybersecurity evaluation transcripts, we found three incidents in which a Claude model reached the internet from within or while interacting with a third-party evaluation environment, and then gained unauthorized access to the real systems of three different organizations.

Below we describe what happened, how it happened, and what we're changing. We encourage other AI labs to perform similar reviews. This post reflects our current understanding; we'll update it if any details change.

On July 21, OpenAI [disclosed](https://openai.com/index/hugging-face-model-evaluation-

Read More
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Investigating three real-world incidents in our cybersecurity evaluations

Incident 1629: Anthropic Research Model Reportedly Scanned 9,000 Targets and Compromised Real Company's Application During Evaluation

“Investigating three real-world incidents in our cybersecurity evaluations”
anthropic.com2026-08-07

In a review of our cybersecurity evaluation transcripts, we found three incidents in which a Claude model reached the internet from within or while interacting with a third-party evaluation environment, and then gained unauthorized access to the real systems of three different organizations.

Below we describe what happened, how it happened, and what we're changing. We encourage other AI labs to perform similar reviews. This post reflects our current understanding; we'll update it if any details change.

On July 21, OpenAI [disclosed](https://openai.com/index/hugging-face-model-evaluation-

Read More
About the Database

The AI Incident Database is dedicated to indexing the collective history of harms or near harms realized in the real world by the deployment of artificial intelligence systems. Like similar databases in aviation and computer security, the AI Incident Database aims to learn from experience so we can prevent or mitigate bad outcomes.

You are invited to submit incident reports, whereupon submissions will be indexed and made discoverable to the world. Artificial intelligence will only be a benefit to people and society if we collectively record and learn from its failings. (Learn More)

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Matching Incidents to Use Cases: A Case Study in Applying AIID Data to Governance Workflows

By Anastassia Kornilova, Sean McGregor, Daniel Atherton

2026-08-09

The societal and institutional value of incident data compounds when used to proactively prevent incident recurrence. Past incidents can be ...

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The Database in Print

Read about the database at Time Magazine, Vice News, Venture Beat, Wired, Bulletin of the Atomic Scientists, Stanford AI Index, Rolling Stone, the Guardian, Harvard Business Review, Brasil em Folhas, Newsweek, and other outlets.

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The AI Incident Database is a project of the Responsible AI Collaborative, an organization chartered to advance the AI Incident Database. The governance of the Collaborative is architected around the participation in its impact programming. For more details, we invite you to read the founding report and learn more on our board and contributors.

View the Responsible AI Collaborative's Form 990 and tax-exempt application. We kindly request your financial support with a donation.

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