Hank Green Reportedly Used AI-Generated Scientific Image Containing Errors in Educational Video

Science communicator and YouTuber Hank Green reportedly included an AI-generated scientific image containing factual and mathematical errors in a YouTube educational video. Green later said he knew the image was AI-generated when he used it and removed it after recognizing problems with the graphic.

Risk classification

• Primary risk domain: 3 Misinformation
• Primary risk subdomain: 3.1 False or misleading information

The AI-generated diagram contained multiple mathematical and visual errors, leading to the dissemination of false or misleading scientific information in an educational video.

Additional risk subdomains

• 6.3 Economic and cultural devaluation of human effort: The report highlights concerns that using AI-generated images devalues the work of human graphic designers who could have been hired instead.

Causal factors

• Entity: AI
• Intent: Unintentional
• Timing: Post-deployment

The mathematical and visual errors in the diagram were generated by an AI system, representing an unintentional failure post-deployment.

EU AI Act risk tier

• Risk tier: 3 Limited Risk

Risk Level 3: The incident involves AI-generated content used in a public video, which falls under limited risk applications requiring transparency.

AI system and alleged parties

• AI system: AI image model
• AI purpose: Image Generation; Visual Art Generation
• Behaviour type: Tool
• Alleged developer: Synthetic media generation technology developers, Synthetic image generation technology developers
• Alleged deployer: YouTube content creators, Synthetic media creators, Science communicators, Hank Green, Content creators
• Alleged harmed parties: YouTube users, Social media users, Epistemic integrity

Harm severity

Severity ratings are based on this scale.

Highest direct severity in any category: Negligible. Severity is scored from Negligible to Catastrophic in each harm category, for harm the reports describe as caused directly or indirectly by the AI system.

• Physical: direct Negligible, indirect Negligible
• Infrastructure: direct Negligible, indirect Negligible
• Property: direct Negligible, indirect Negligible
• Financial: direct Negligible, indirect Negligible
• Environmental: direct Negligible, indirect Negligible
• Malicious content: direct Negligible, indirect Negligible
• Differential treatment: direct Negligible, indirect Negligible
• Civil rights: direct Negligible, indirect Negligible
• Democracy: direct Negligible, indirect Negligible
• Privacy: direct Negligible, indirect Negligible
• Psychological: direct Negligible, indirect Negligible
• Epistemic: direct Negligible, indirect Negligible
• Child sexual exploitation and abuse: direct Negligible, indirect Negligible

People affected

• Occurrences reported: 1
• People reportedly exposed: 10000

Potential causes

Management

• Prioritizing Speed Over Accuracy: Management/creator prioritized fast production over rigorous content validation.

Technology

• AI Image Generator Hallucinations: Generates incorrect mathematical visual details and wrong geometric proportions.
• Flawed AI Math Processing: AI generated incorrect calculations and text labels on the diagram.

Data Inputs

• Uncurated Training Data: Model trained on unverified web diagrams leading to poor geometric logic.

Human Factors

• Overreliance on AI Generation: Creator assumed AI output was correct without verifying the mathematical details.
• Desire to Save Time and Effort: Creator used AI for a quick throw-away diagram instead of drawing it.

Process and Methods

• Lack of Quality Assurance Review: No formal process to review and verify mathematical accuracy of video diagrams.
• Bypassing Professional Designers: Process bypassed standard graphic designers who would ensure accurate diagrams.

Information quality

• Classification confidence: High
• Reason for confidence: The report clearly details the specific errors in the AI-generated diagram and the context of its use in Hank Green's video. The creator's response (removing the image) is also documented, leaving little ambiguity about the sequence of events.
• Ambiguities identified: The specific AI model used to generate the image is not identified in the report.

A popular science communicator used an AI-generated diagram containing mathematical and visual errors in a YouTube video. The image was promptly removed after viewer feedback. The incident has negligible national security implications, representing a common and minor case of AI-generated content inaccuracy.

• Overall national security impact: Negligible
• Scope: Multiple nations
• Primary target: No clear primary
• Alleged perpetrator: Unknown

Threat characteristics

• Imminence: Long-term. The incident was resolved immediately by removing the image, presenting no ongoing threat or active crisis.
• Autonomy: Human-controlled. The AI system acted as a tool to generate a static image, with humans maintaining complete control over its deployment and subsequent removal.
• Novelty: Established threat. AI-generated image hallucinations and factual errors are well-established limitations of current generative AI technologies.

Impact by dimension

• Physical security: Negligible. No physical systems, kinetic attacks, or critical infrastructure were affected or targeted in this incident.
• Information security: Negligible. The incident involves unintentional mathematical errors in an educational science video, with no evidence of systematic information warfare, state-sponsored disinformation, or intelligence compromise.
• Sovereignty: Negligible. No government functions, electoral systems, or sovereign state decisions were impacted or involved.
• Economic security: Negligible. The incident does not involve strategic technology theft, financial system attacks, or critical supply chain vulnerabilities.
• Societal stability: Negligible. No threats to societal stability, civil liberties, or human rights occurred. The incident was limited to minor inaccuracies in a publicly available educational video.