HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Examining a Bias in AI: How a Discriminatory Algorithm Misclassified Thousands as Fraudsters

This AI incident highlights the importance of trustworthy AI and AI governance. The case of the discriminatory algorithm, which wrongly accused thousands of families of fraud, underscores the need for safe and secure AI. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Are you ready to help prevent such incidents? JOIN US

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/101

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.