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

Investigating a case of ad targeting gone awry, this analysis highlights the importance of trustworthy AI and safe and secure practices in the digital advertising ecosystem. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). JOIN US to help ensure harm prevention and establish guardrails for AI.

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.