OOF-AII-399375

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.

Event date
2026-09-21
Country
Location not specified
Severity
Low
Evidence state
Single-source

Assessment status

Generated from available public incident evidence using OOF® governance methodology. It is not an official investigation, legal determination, regulatory finding, certification, or OOF® Approved Assessment.

View source record from AI Incident Database (Responsible AI Collaborative)

Assessment confidence dimensions

Source corroboration
Single-source

Measures source-group corroboration only; it does not establish factual truth.

Extraction completeness
Moderate

Measures populated source fields after deterministic normalization; it does not measure correctness.

Methodological assignment confidence
Moderate

Measures automated assignment support; substantive correctness requires authorized human review.

Known facts from the incident record

  • The incident record identifies the event date as 2026-09-21.

Reported claims

  • 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.

Material unknowns

  • Independent corroboration is not established in the available incident record.

Primary governance problem

The incident appears to expose a governance problem involving other, being, later. Available reporting supports preliminary methodological interpretation, not a finding of fault or non-compliance.

Architecture intelligence

LIGA™ — Liability Governance Architecture

Primary architecture

The reported other, being, later concern falls within the governed questions represented by LIGA™ — Liability Governance Architecture.

Governance focus: How should other, being, later be governed in the conditions described by the available incident evidence?

Deeper methodology is withheld because the available evidence does not justify a Parent Standard or Core Module.

Preliminary governance questions

  • How should other, being, later be governed in the conditions described by the available incident evidence?
  • What operational authority and controls applied to Stanford University, Universities, Educational Communities, Synthetic Media Creators, Stanford Residential And Dining Enterprises at the relevant time?
  • What evidence would establish how Synthetic Image Generation Technology, Synthetic Media Generation Technology produced or enabled the reported outcome?
  • What additional independent evidence is required to resolve the material evidence gaps?

Evidence gaps and limitations

  • Only one independent source group is represented; corroboration is not established.
  • Country could not be resolved from the available evidence.
  • AI technology is not specified in the source record.
  • industry is not specified in the source record.
  • AI system type is not specified in the source record.

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