HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Misidentification in AI: A Case for Responsible Algorithms - Harm Prevention in Project Cerebellum

Incidents like this misidentification highlight the need for trustworthy AI, a key aspect of our work at Project Cerebellum. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Join us in shaping responsible AI governance and ensuring safe and secure algorithms for all.JOIN US

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/74

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.