The DAO Hack - Stolen $50M & The Hard Fork.
Explore the impact of the 2016 DAO hack, a significant event marking the unintended consequences of autonomous decision-making in blockchain...
Read moreEvidence-based Transparent For governance
Explore 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 moreExplore the reasons behind Microsoft's chatbot Tay's failure, its implications for Artificial Intelligence research, and the importance of i...
Read moreMicrosoft's AI-powered chatbot, Tay, which infamously exhibited racist behavior in 2016, has resurfaced, this time tweeting drug-related con...
Read moreMicrosoft's AI chatbot, Tay, generated controversial and offensive tweets that sparked outrage on social media platforms. The company has ex...
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.