Unmasking the DAO Hack: Navigating Blockchain Security Challenges
The DAO hack serves as a stark reminder of the need for robust security measures in blockchain technology. This incident, which resulted in...
Read moreEvidence-based Transparent For governance
The DAO hack serves as a stark reminder of the need for robust security measures in blockchain technology. This incident, which resulted in...
Read moreRecent events have shed light on a significant breach of the Ethereum network, resulting in the theft of $31M worth of Ether. This incident...
Read moreThe DAO hack of 2016 was a watershed moment in blockchain history, testing the limits of smart contracts and governance structures. Let's ex...
Read moreExplore the impact of the 2016 DAO hack, a significant event marking the unintended consequences of autonomous decision-making in blockchain...
Read moreExploring the 2016 DAO hack that exposed vulnerabilities in smart contracts, a crucial aspect of blockchain technology. Learn how this incid...
Read moreRecent cybersecurity breach in The DAO, an Ethereum-based investment fund, has highlighted the human elements that can compromise even the m...
Read moreThe DAO hack, a 2016 incident involving a decentralized autonomous organization on Ethereum blockchain, offers valuable insights into the im...
Read moreThis article delves into the infamous 2016 DAO exploit, a significant event that highlighted the need for robust governance and guardrails i...
Read moreIn 2016, a groundbreaking incident occurred in the world of blockchain: The DAO hack. This event exposed vulnerabilities in smart contracts...
Read moreDelve into the history-making DAO hack of 2016, its aftermath, and the soft and hard forks that ensued. This incident served as a pivotal mo...
Read moreExplore ten captivating yet cautionary tales of AI systems that veered off course, underscoring the significance of safe and secure AI devel...
Read moreExplore the missteps of popular chatbots, highlighting the importance of safe and secure AI in interactions with humans. Understand how HISP...
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.