Artificial Intelligence Incident

Artificial intelligence (AI) incidents, defined as harmful events caused by AI systems, are a growing area of research focused on understanding, classifying, and preventing such occurrences. Current research emphasizes developing robust incident databases, analyzing common causes (including biases and vulnerabilities), and establishing clear liability frameworks, drawing parallels with high-risk industries like nuclear power. This work is crucial for improving AI safety and promoting responsible development, impacting both the scientific understanding of AI risks and the practical implementation of safer AI systems across various sectors.