Unveiling the Data Privacy Conundrum: How Firms Acquire User Information

Explore how advanced AI systems, often used by companies for personalized services, can inadvertently collect sensitive user data. This article sheds light on the balance between responsible AI and user privacy, emphasizing the importance of AI governance, trustworthy AI, and safe and secure AI practices.

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

GOVERN 2.2 — similarity 0.488, rank 1. TAIM detail and related incidents →
MAP 1.6 — similarity 0.485, rank 2. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.479, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/170

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.