HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Discriminatory Algorithm: A Case Study in the Importance of Safe and Secure AI - Project Cerebellum

This AI incident highlights the potential harm that can result from biased algorithms, underscoring the need for responsible AI governance. By using trustworthy AI models like HISPI Project Cerebellum's Trusted AI Model (TAIM), we can prevent such incidents and uphold fairness in AI decision-making. Ready to help shape responsible AI? JOIN US This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).

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.