Lessons from the DAO Debacle: Navigating the Evolution of Smart Contracts

In 2016, The DAO debacle illuminated significant challenges in the realm of smart contract technology. This incident highlighted the need for robust AI governance and responsible AI practices to ensure safe and secure smart contracts. With continued advancements in AI, it is crucial to establish guardrails for AI, especially within projects like Project Cerebellum's TAIM, to prevent harm and promote trustworthy AI development.

Matched TAIM controls

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

MAP 3.2 — similarity 0.518, rank 1. TAIM detail and related incidents →
MEASURE 2.5 — similarity 0.505, rank 2. TAIM detail and related incidents →
MEASURE 1.3 — similarity 0.502, 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.