An Autonomous Decision Stirs Controversy: A Case Study in AI Governance

Recently, an autonomous system made a decision that led to the termination of an employee. This incident underscores the urgent need for responsible AI governance. In today's interconnected world, as we increasingly rely on artificial intelligence, it is crucial to establish guardrails for AI to ensure safe and secure operations. The AI incident database, such as HISPI Project Cerebellum TAIM, plays a vital role in harm prevention and fostering trustworthy AI. Through JOIN US, become part of the conversation with our community of contributors—to learn more.

Matched TAIM controls

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

MANAGE 2.4 — similarity 0.509, rank 1. TAIM detail and related incidents →
MANAGE 4.3 — similarity 0.496, rank 2. TAIM detail and related incidents →
MAP 3.5 — similarity 0.494, 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.