Facial Recognition Website Highlights Need for Responsible AI Governance - Turning Everyday Users into Law Enforcement or Stalkers
This facial recognition website, capable of transforming anyone into a virtual law enforcement officer or potential stalker, underscores the urgent need for trustworthy and safe AI governance. Prevent harm by implementing guardrails for AI through Project Cerebellum's AI incident database. Stay informed about AI incidents that align with the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help shape responsible AI? JOIN US
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/109
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.