Investigating LinkedIn's Alleged Gender Bias: A Step Towards Trustworthy AI
An investigation into the alleged gender bias on LinkedIn raises questions about fairness in AI systems. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ensuring AI governance is crucial for preventing harm and establishing guardrails for safe and secure AI. Ready to help shape responsible AI? JOIN US
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.