Description: Evolv's AI-based weapons detection system reportedly produced excessive false positives, mistaking everyday school items for weapons and pulling schools' security personnel for manual checking.
Entities
View all entitiesAlleged: Evolv Technology developed an AI system deployed by Charlotte Mecklenburg School District, which harmed students at Charlotte Mecklenburg Schools , teachers at Charlotte Mecklenburg Schools and security officers at Charlotte Mecklenburg Schools.
CSETv1 Taxonomy Classifications
Taxonomy DetailsIncident Number
The number of the incident in the AI Incident Database.
349
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
On March 22, Jennifer Dean, the principal of Mallard Creek High School in Charlotte, North Carolina, emailed members of her staff to tell them about a new security system being installed. Made by a Massachusetts-based company called Evolv T…
We’re just going to keep getting kids killed in America. We’ll never stop throwing money in the direction of the problem, but not directly at the problem. Nothing gets safer. It just gets more budget line items.
The problem with school shoo…
Variants
A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.