Facial Recognition in Job Screening Services Pauses Amid Controversy: A Case Study for Responsible AI
This AI incident highlights the need for safe and secure AI practices in job screening services, shedding light on potential biases and ethical concerns. As a concerned AI user, join us in advocating for responsible AI governance through Project Cerebellum's AI incident database. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). JOIN US
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/95
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
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