Unveiling Gender Bias in LinkedIn Search Engine: A Case for Responsible AI
September 6, 2016
The Seattle Times uncovered a gender bias in the LinkedIn search engine back in 2016, highlighting the need for trustworthy and safe AI governance. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help shape responsible AI? JOIN US
- Alleged deployer
- Alleged developer
- Alleged harmed parties
- women
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/47
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.