ChatGPT-Powered Bing Reportedly Had Problems with Factual Accuracy on Some Controversial Topics
February 7, 2023
These incidents underscore the importance of safe and secure AI practices, particularly when it comes to AI governance. The HISPI Project Cerebellum aims to establish guardrails for AI, including mapping and measuring incidents like this through its TAIM (Track, Assess, Investigate, Mitigate) framework.
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Matched TAIM controls
Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls
- MEASURE 2.6 — similarity 0.657, rank 1. TAIM detail and related incidents →
- MEASURE 4.2 — similarity 0.650, rank 2. TAIM detail and related incidents →
- MAP 1.6 — similarity 0.645, rank 3. TAIM detail and related incidents →
- Alleged deployer
- microsoft
- Alleged developer
- openai, microsoft
- Alleged harmed parties
- bing-users
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/468
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.