HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Examining Amazon's Recruiting Algorithm: Uncovering Potential Bias in AI

This investigation uncovers the alleged gender bias in Amazon's recruiting algorithm, highlighting the need for trustworthy and responsible AI. Ensuring safety and fairness is paramount for all AI applications. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). JOIN US: Help us prevent such biases by joining our efforts towards building a safer, more inclusive AI ecosystem.

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/37

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.