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CNET, owned by Red Ventures, utilized an undisclosed proprietary AI tool to generate financial articles for SEO purposes. The system produced content containing factual inaccuracies and plagiarized text from competitors. Following public scrutiny and reports from Futurism, CNET paused the use of the tool, though leadership indicated plans to resume its use after process improvements.
CNET's use of generative AI to write articles allegedly ran into plagiarism issues, reproducing verbatim phrases from other published sources or making minor changes to existing texts such as altering capitalization, swapping out words for synonyms, and changing minor syntax.
Domain classification, causal taxonomy, severity scores, and national security assessments were LLM-classified and may contain errors.
AI systems that inadvertently generate or spread incorrect or deceptive information, which can lead to inaccurate beliefs in users and undermine their autonomy. Humans that make decisions based on false beliefs can experience physical, emotional or material harms
Also classified as
The AI tool plagiarized human writers from competitor sites and was used to automate content creation to corner the SEO market, devaluing professional journalism.
The proprietary AI system failed to perform reliably, generating factual errors and failing to properly paraphrase its source materials.
The AI system generated and spread incorrect financial advice, such as misrepresenting compound interest, which could lead to inaccurate beliefs and financial harm for readers.
AI system
Due to a decision or action made by an AI system
Unintentional
Due to an unexpected outcome from pursuing a goal
Post-deployment
Occurring after the AI model has been trained and deployed
The factual errors and plagiarized text were directly generated by the AI system during its post-deployment operation, which was an unintentional outcome of CNET's goal to generate SEO content.
Added categories peak at 2: Minor (Epistemic Harm, Direct)
CNET's undisclosed use of a proprietary AI tool to generate plagiarized and factually incorrect financial articles represents a significant commercial and journalistic failure, but carries negligible national security implications. The incident highlights risks related to AI-enabled epistemic harm and commercial transparency, rather than threats to state sovereignty, critical infrastructure, or national defense.
The reports describe the AI as a proprietary tool used by editors to pull data, choose domains, and generate text, which the editors then review, edit, and combine with human writing. This fits the Assistant category as it augments human writing capabilities and requires human oversight.
Risk Level 3: Limited Risk. The incident involves an AI system generating text content published as news articles without clear disclosure to readers. Under the EU AI Act, AI-generated content requires transparency obligations to ensure users are informed that the content is AI-generated.
The AI system was designed to generate financial articles and explainers, acting as a writing assistant for CNET's editorial team.
The reports from multiple sources (The Verge, Futurism, Gizmodo) provide consistent, detailed accounts of CNET's quiet deployment of the AI tool, the subsequent discovery of factual errors and plagiarism, and the company's response. The facts are well-documented and admitted to by CNET's leadership.
None. The events are clearly established as an AI-assisted content generation failure.
Technology
Proprietary Article Spinning Tool
The AI tool acted as a low-quality spinner, copying and rephrasing text.
Flawed Plagiarism Checker
The plagiarism checker failed to catch sentences closely resembling sources.
Data Inputs
Plagiarized Training Data
The model was trained on or pulled from competitor articles without consent.
Human Factors
Negligent Editorial Review
Human editors failed to properly fact-check and run plagiarism checks.
Overreliance on AI Output
Editors put too much faith in the AI, bypassing normal editorial rigor.
Process and Methods
Deceptive Disclosure Practices
CNET published AI stories quietly under vague bylines without clear disclosure.
Inadequate Fact-Checking Workflow
Editorial processes failed to verify basic financial concepts before publishing.
Management
Prioritizing SEO Over Integrity
Red Ventures prioritized maximizing SEO clicks and affiliate links over quality.
Keeping Staff in the Dark
Management hid the AI tool's deployment from their own editorial staff.
Regulatory Environment
SEO Algorithmic Incentives
Google search algorithms rewarded content volume, encouraging automated output.
Unclear AI Copyright Laws
Lack of legal clarity on training AI on copyrighted data without consent.
AI system involved
Identified by automated extraction; can differ from the alleged developers above.
