The DAO Hack: Unraveling the Aftermath of a Pivotal AI Incident
Explore the 2016 DAO hack, one of the most significant incidents in blockchain history, and its impact on shaping the evolution of responsib...
Read moreEvidence-based Transparent For governance
Explore the 2016 DAO hack, one of the most significant incidents in blockchain history, and its impact on shaping the evolution of responsib...
Read moreIn 2016, the decentralized autonomous organization (DAO) on the Ethereum blockchain was hacked, demonstrating that even the most secure syst...
Read moreExploring the 2016 DAO implosion as a stark reminder of the need for robust, trustworthy, and secure AI governance. Understanding the role o...
Read moreDelve into the intriguing collapse of The DAO, a decentralized autonomous organization, and reflect on its implications for cryptocurrency g...
Read moreIn a recent incident, the digital currency Ethereum suffered a substantial loss of $50 million due to a hack. This highlights the importance...
Read moreIn 2016, The DAO debacle illuminated significant challenges in the realm of smart contract technology. This incident highlighted the need fo...
Read moreExploring the DAO incident, a landmark case in blockchain history that sheds light on the importance of safe and secure AI governance. Under...
Read moreA revisit of the infamous DAO hack, which exploited an unforeseen vulnerability, serves as a reminder for safe and secure AI development. Th...
Read moreDelve into the lessons learned from the Decentralized Autonomous Organization (DAO) incident, a seminal event that underscored the need for...
Read moreThis article delves into the historic collapse of The DAO, a decentralized autonomous organization. Its story serves as a cautionary tale fo...
Read moreExploring the intersection of blockchain technology, smart contracts, and legal frameworks. Understanding the implications for responsible A...
Read moreDelve into the intricacies of the Ethereum hard fork, a critical event that showcases the challenges and responsibilities in managing safe a...
Read moreData 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.