Pausing the Robot Revolution: Ensuring Responsible AI Development

Recent incidents involving autonomous systems have prompted a reconsideration of their deployment. These events highlight the need for robust AI governance and safeguards to prevent harm. In this article, we examine the latest developments in AI incident reporting and discuss the role of HISPI Project Cerebellum TAIM in managing such incidents. Through JOIN US, contributors can learn more about our efforts in responsible AI development.

Matched TAIM controls

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

GOVERN 1.7 — similarity 0.481, rank 1. TAIM detail and related incidents →
MANAGE 2.4 — similarity 0.475, rank 2. TAIM detail and related incidents →
MEASURE 2.5 — similarity 0.468, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/68

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.