Description: A car stop resulting in a DUI arrest of its driver was allegedly based solely on a ShotSpotter alert, the reliability of which came into question by public defenders, who subpoenaed the company to assess its gunshot alert system.
Entities
View all entitiesAlleged: ShotSpotter developed an AI system deployed by Chicago Police Department, which harmed Chicago drivers.
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 Friday, an attorney representing ShotSpotter, a gunshot-detection technology company, made the unusual request that a judge in a criminal case hold the company in contempt of court to prevent ShotSpotter from being compelled to release d…
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.