Stanford University Acknowledged Using AI to Alter Student Photo for Campus Banners, Replacing Hispanic Student With Black Woman

Stanford University acknowledged using AI to alter a 2024 student photograph for campus banners in September 2026. The altered image replaced Hispanic student Billy Ramirez with a Black woman and made two other students appear thinner. Ramirez said being "erased" was upsetting and frustrating. Stanford said the alteration and lack of disclosure violated its AI policy and later said it was removing the banners.

Risk classification

• Primary risk domain: 1 Discrimination & Toxicity
• Primary risk subdomain: 1.1 Unfair discrimination and misrepresentation

The university used AI to alter a student's race and gender to artificially project diversity, resulting in the misrepresentation and erasure of a Hispanic student's identity.

Additional risk subdomains

• 6.3 Economic and cultural devaluation of human effort: The university used generative AI to replace a real student's likeness and alter others' appearances, devaluing authentic human representation in university media.

Causal factors

• Entity: Human
• Intent: Intentional
• Timing: Post-deployment

The incident was caused by a deliberate decision by Stanford staff to use generative AI tools to alter the promotional photograph.

EU AI Act risk tier

• Risk tier: 3 Limited Risk

Limited Risk: The incident involves the generation and use of AI-altered content (deepfakes/manipulated images) which carries transparency obligations under the Act.

AI system and alleged parties

• AI system: unspecified generative AI
• AI purpose: Image Retouching; Deepfake Image Generation
• Behaviour type: Tool
• Alleged developer: Synthetic media generation technology developers, Synthetic image generation technology developers
• Alleged deployer: Universities, Synthetic media creators, Stanford University, Stanford Residential & Dining Enterprises, Educational communities
• Alleged harmed parties: University students, Two unnamed Stanford University students whose appearances were altered, Students, Privacy, Epistemic integrity, Educational communities, Billy Ramirez

Harm severity

Highest direct severity in any category: Minor. 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 Minor, indirect Negligible
• Civil rights: direct Negligible, indirect Negligible
• Democracy: direct Negligible, indirect Negligible
• Privacy: direct Negligible, indirect Negligible
• Psychological: direct Minor, indirect Minor
• Epistemic: direct Negligible, indirect Negligible
• Child sexual exploitation and abuse: direct Negligible, indirect Negligible

Differential treatment

Reported: The report explicitly describes differential treatment where a Hispanic student's likeness was erased to insert a different demographic representation.

Directly caused: A Hispanic student was completely removed from a promotional photo and replaced with an AI-generated Black woman to artificially alter the demographic representation of the student body.

Indirectly caused: N/A

Inferred additional harm: N/A

Psychological

Reported: The report explicitly describes psychological distress and exhaustion experienced by the primary student affected.

Directly caused: The student reported feeling 'silenced and erased' from a representation that was supposed to include him, and felt 'baffled' and 'upset' by the alteration.

Indirectly caused: The student reported feeling exhausted and tired from the intense national media attention following the incident, stating 'I'm so tired, I want it to stop.'

Inferred additional harm: Other students whose faces were slimmed down without consent may have experienced body image distress or discomfort, though this was not detailed in the reports.

People affected

• Occurrences reported: 1
• People reportedly harmed: 3
• People reportedly exposed: 3

Potential causes

Management

• Inadequate Staff Training: Management failed to adequately train R&DE staff on university AI policies.
• Superficial Diversity Pressures: Pressure to project diversity led to prioritizing marketing over authenticity.

Technology

• Generative AI Image Manipulation: Generative AI tools allowed easy, convincing face-swapping and body-slimming.

Data Inputs

• Original Student Photograph: An authentic photo of students was used as input for unauthorized AI edits.

Human Factors

• Staff Disregard of Policy: Staff chose to use generative AI to alter student images despite clear bans.
• Desire to Project Diversity: Staff manipulated student race to artificially boost perceived campus diversity.

Process and Methods

• Lack of Pre-Publication Review: No review process caught the policy-violating AI alterations before printing.
• Lack of AI Disclosure Protocol: AI-altered promotional materials were published without any label or disclosure.

Regulatory Environment

• Ineffective Policy Enforcement: The existing strict university ban on AI image alteration was not enforced.

Information quality

• Classification confidence: High
• Reason for confidence: The reports provide consistent, detailed accounts of the incident from multiple reputable sources, including direct quotes from the affected student and official statements from Stanford University confirming the policy violation and the nature of the AI alteration.
• Ambiguities identified: The specific generative AI software or model used by the dining department is not named.
• Alternative interpretations: None. The facts of the image alteration and the university's admission of policy violation are clear and uncontested.

Stanford University staff used generative AI to alter a promotional image by replacing a Hispanic student with a synthetic person and modifying other students' appearances. While violating university policy and causing localized distress regarding representation, the incident is a domestic administrative issue with negligible national security implications.

• Overall national security impact: Minor
• Response level: Moderate
• Scope: Single nation
• Primary target: United States
• Alleged perpetrator: Stanford University Residential and Dining Enterprises staff

Threat characteristics

• Imminence: Long-term. The incident has been resolved locally with the removal of the banners and does not represent an active national security crisis.
• Autonomy: Human-controlled. The generative AI tools were directly used by university staff to execute specific image editing tasks under human control.
• Novelty: Established threat. The use of generative AI and digital tools to alter photos and create deepfakes is an established and common capability.

Impact by dimension

• Physical security: Negligible. The incident involves the manipulation of a university promotional image and has no impact on physical systems, infrastructure, or human safety.
• Information security: Negligible. While involving image manipulation, this is a localized university policy violation rather than a hostile foreign disinformation campaign or intelligence compromise.
• Sovereignty: Negligible. No state authority, electoral systems, or core government operations were targeted or affected by this localized university incident.
• Economic security: Negligible. The incident does not threaten strategic industries, critical supply chains, financial systems, or national technological advantages.
• Societal stability: Minor. The incident caused localized distress, misrepresentation, and perceived erasure of a student's identity, but it does not represent a large-scale threat to national social cohesion or human rights.