HISPI Project Cerebellum
AI Incidents

False Negatives for Water Quality-Associated Beach Closures

June 3, 2022

Toronto’s use of AI predictive modeling (AIPM) which had replaced existing methodology as the only determiner of beach water quality raised concerns about its accuracy, after allegedly conflicting results were found by a local water advocacy group using traditional means.
Alleged deployer
toronto-city-government
Alleged developer
toronto-public-health
Alleged harmed parties
sunnyside-beachgoers, marie-curtis-beachgoers, toronto-citizens

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/290

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.