Description: In February 2021, a Black college student, Amaya Ross, reportedly tried to take a remote biology lab quiz using proctoring software that could not detect her face. Ross said she spent 45 minutes changing lights, shades, position, and background before pointing an LED flashlight at her face so the app would work; the quiz itself was only 30 minutes.
Entities
View all entitiesAlleged: Unknown remote proctoring software developers developed an AI system deployed by Unnamed Ohio college, which harmed University students , Universities , students , Educational communities , Black test-takers , Black students and Amaya Ross.
Alleged implicated AI systems: Remote exam proctoring systems and Facial recognition technology
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
1.3. Unequal performance across groups
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.
- Discrimination and Toxicity
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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We believe in people and causes that make our world better. Students of colour are getting flagged to their teachers because testing software can’t see them. Mozilla approached us to help tell Amaya’s story of encountering software that fai…
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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