In-depth Analysis of the DAO Exploit: A Case Study in Responsible AI Incident Governance

This article delves into the infamous 2016 DAO exploit, a significant event that highlighted the need for robust governance and guardrails in artificial intelligence. We explore how this incident underscores the importance of responsible AI, safe and secure AI practices, and harm prevention in the context of smart contract systems. Through the HISPI Project Cerebellum TAIM, we map, measure, and manage such incidents to foster a more trustworthy digital ecosystem.

Matched TAIM controls

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

MEASURE 2.10 — similarity 0.529, rank 1. TAIM detail and related incidents →
MAP 1.6 — similarity 0.519, rank 2. TAIM detail and related incidents →
MAP 3.2 — similarity 0.512, 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.