Investigating The DAO Attack: A Case Study in Responsible AI Incident Analysis

Delve into the 2016 DAO attack, a significant incident that underscored the need for robust AI governance and safe and secure AI practices. This case study highlights the importance of trustworthy AI models (TAIM) in preventing harm and the role of HISPI Project Cerebellum TAIM in managing such incidents.

Matched TAIM controls

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

MAP 1.6 — similarity 0.423, rank 1. TAIM detail and related incidents →
MANAGE 4.1 — similarity 0.413, rank 2. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.412, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/50

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.