Machine ousts software developer: A case study in AI governance

Exploring the implications of an AI-driven termination, this article delves into responsible AI practices and their role in preventing harm. The incident serves as a stark reminder of the need for guardrails to ensure safe and secure AI operations. Join us through JOIN US to contribute to HISPI Project Cerebellum TAIM, mapping, measuring, and managing incidents like this one.

Matched TAIM controls

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

MANAGE 2.4 — similarity 0.537, rank 1. TAIM detail and related incidents →
MANAGE 4.3 — similarity 0.520, rank 2. TAIM detail and related incidents →
GOVERN 1.7 — similarity 0.517, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/35

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.