Exploring Potential Risks in Google's Ad Targeting System: A Responsible AI Perspective

This analysis sheds light on a potential issue within Google's ad-targeting system, highlighting the importance of trustworthy and safe AI. By understanding these risks, we can implement guardrails for AI and contribute to Project Cerebellum's mission of promoting harm prevention in AI. 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/19

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.