Investigating Allegations of Potential Bias in LinkedIn's AI: A Call for Responsible AI Governance

This incident raises concerns about potential gender bias in LinkedIn's AI systems. As a responsible AI advocate, it is crucial to ensure that such allegations are thoroughly investigated and addressed. Join the movement towards trustworthy AI by contributing to Project Cerebellum's AI incident database and help us implement guardrails for safe and secure AI. 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/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.