Description: A semi-autonomous delivery robot operated by Starship Technologies struck a pedestrian employed by Arizona State University on the campus sometime in September 2023, causing injuries after abruptly reversing into her. The robot initially knocked the pedestrian down, then moved toward her again while she was still on the ground. The company offered the victim promo codes and insurance information as an apology. On September 19, 2024, 404 Media made the police report of the incident available.
Entities
View all entitiesAlleged: Starship Technologies developed and deployed an AI system, which harmed Unnamed Arizona State University employee.
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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An on-campus delivery robot at Arizona State University ran into a university employee after "abruptly changing direction" and caused her to fall over and be injured, according to a police report obtained by 404 Media. After the Starship de…
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One of Starship Technologies’ autonomous food delivery robots tripped up a school employee at Arizona State University last September. As 404 Media reports, when contacted by the police, an employee asked for the person’s info to share insu…
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.
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