Legal Dispute Surrounding Data Collection in AI Chatbot: The Need for Responsible AI Governance

A high-profile legal dispute has erupted over an AI chatbot, casting a shadow on the data collection practices within the AI sector. This incident underscores the importance of implementing robust and trustworthy AI governance to ensure safe and secure data handling in AI applications.

Matched TAIM controls

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

MEASURE 2.10 — similarity 0.598, rank 1. TAIM detail and related incidents →
MAP 4.1 — similarity 0.598, rank 2. TAIM detail and related incidents →
MAP 1.6 — similarity 0.596, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/106

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.