Researchers
Incidents involved as both Developer and Deployer
Incident 211 Report
Tougher Turing Test Exposes Chatbots’ Stupidity (migrated to Issue)
2016-07-14
The 2016 Winograd Schema Challenge highlighted how even the most successful AI systems entered into the Challenge were only successful 3% more often than random chance. This incident has been downgraded to an issue as it does not meet current ingestion criteria.
MoreIncidents Harmed By
Incident 7344 Report
Leading AI Models Reportedly Found to Mimic Russian Disinformation in 33% of Cases and to Cite Fake Moscow News Sites
2024-06-18
An audit by NewsGuard revealed that leading chatbots, including ChatGPT-4, You.com’s Smart Assistant, and others, repeated Russian disinformation narratives in one-third of their responses. These narratives originated from a network of fake news sites created by John Mark Dougan (Incident 701). The audit tested 570 prompts across 10 AI chatbots, showing that AI remains a tool for spreading disinformation despite efforts to prevent misuse.
MoreIncident 15633 Report
KPMG Report Allegedly Included Hallucinated Citations and Inaccurate Agentic AI Case Studies
2025-10-28
In October 2025, KPMG published "Total Experience: Redefining Excellence in the Age of Agentic AI." GPTZero later reported that only five of 45 citations accurately matched their sources, while others contained flawed details. The pattern reportedly suggested an unverified LLM research tool, but the system and extent of AI involvement remain unconfirmed.
MoreIncident 10442 Report
Reported Emergence of 'Vegetative Electron Microscopy' in Scientific Papers Traced to Purported AI Training Data Contamination
2025-04-15
Researchers reportedly traced the appearance of the nonsensical phrase "vegetative electron microscopy" in scientific papers to contamination in AI training data. Testing indicated that large language models such as GPT-3, GPT-4, and Claude 3.5 may reproduce the term. The error allegedly originated from a digitization mistake that merged unrelated words during scanning, and a later translation error between Farsi and English.
MoreIncident 211 Report
Tougher Turing Test Exposes Chatbots’ Stupidity (migrated to Issue)
2016-07-14
The 2016 Winograd Schema Challenge highlighted how even the most successful AI systems entered into the Challenge were only successful 3% more often than random chance. This incident has been downgraded to an issue as it does not meet current ingestion criteria.
MoreIncidents involved as Deployer
Incident 10442 Report
Reported Emergence of 'Vegetative Electron Microscopy' in Scientific Papers Traced to Purported AI Training Data Contamination
2025-04-15
Researchers reportedly traced the appearance of the nonsensical phrase "vegetative electron microscopy" in scientific papers to contamination in AI training data. Testing indicated that large language models such as GPT-3, GPT-4, and Claude 3.5 may reproduce the term. The error allegedly originated from a digitization mistake that merged unrelated words during scanning, and a later translation error between Farsi and English.
MoreRelated Entities
Other entities that are related to the same incident. For example, if the developer of an incident is this entity but the deployer is another entity, they are marked as related entities.
Related Entities
OpenAI
Incidents involved as both Developer and Deployer
- Incident 7344 Reports
Leading AI Models Reportedly Found to Mimic Russian Disinformation in 33% of Cases and to Cite Fake Moscow News Sites
- Incident 10442 Reports
Reported Emergence of 'Vegetative Electron Microscopy' in Scientific Papers Traced to Purported AI Training Data Contamination
Incidents Harmed By
Scientific authors
Incidents Harmed By
- Incident 10442 Reports
Reported Emergence of 'Vegetative Electron Microscopy' in Scientific Papers Traced to Purported AI Training Data Contamination
- Incident 10442 Reports
Reported Emergence of 'Vegetative Electron Microscopy' in Scientific Papers Traced to Purported AI Training Data Contamination