Description: Glendale Community College in Arizona reportedly used an AI-powered name-reading system during its May 2026 commencement ceremony. The system allegedly mishandled the graduate roll call, leaving some students without the expected public announcement of their names as they crossed the stage and prompting frustration from attendees. The college later apologized and reportedly allowed affected graduates to walk again with a human announcer.
Entities
View all entitiesAlleged: AI name-reading system developers developed an AI system deployed by Glendale Community College , Community colleges , Institutions of higher education and Educational communities, which harmed Community colleges , Institutions of higher education , Educational communities , Glendale Community College students , Glendale Community College community , Students and Community college students.
Alleged implicated AI system: AI name-reading systems
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
7.3. Lack of capability or robustness
Risk Domain
The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
- AI system safety, failures, and limitations
Entity
Which, if any, entity is presented as the main cause of the risk
AI
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Post-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Unintentional
Incident Reports
Reports Timeline
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A new accessory is joining the traditional cap-and-gown ensemble as droves of graduates line up to accept their diplomas this spring. Clutched in the hands of students waiting to cross the stage is a QR code, either on paper or a phone, tha…
Variants
A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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