Welcome to the Artificial Intelligence Incident Database

The AI Incident Database (AIID) is a comprehensive resource dedicated to documenting real-world incidents involving artificial intelligence systems. Its purpose is to learn from past events, identify trends, and ultimately improve the safety and reliability of AI technologies. The database catalogs a wide range of incidents, from minor malfunctions to significant harms or near-misses, providing valuable insights for researchers, developers, policymakers, and the public.

Types of Incidents Recorded

The AIID includes incidents across various sectors and applications of AI, such as:

• Autonomous Vehicles: Accidents, malfunctions, and near-misses involving self-driving cars and other autonomous vehicles.
• AI-Generated Content: Instances of misinformation, deepfakes, harmful content generation, and copyright infringement.
• Bias and Discrimination: Cases where AI systems exhibit bias against certain groups or individuals, leading to unfair or discriminatory outcomes.
• Security Breaches: Incidents involving the unauthorized access or manipulation of AI systems.
• Privacy Violations: Cases where AI systems compromise the privacy of individuals.
• Malfunctions and Errors: Instances of AI systems failing to function as intended, leading to unintended consequences.

How the Database Works

The AIID operates on a crowdsourced model, encouraging users to submit reports of AI-related incidents. These reports are reviewed and categorized to ensure accuracy and consistency. The database provides various search and filtering options, allowing users to explore incidents based on factors such as date, location, type of AI system, and impact.

Why the AIID Matters

The development and deployment of AI technologies are rapidly transforming society. However, these technologies are not without risks. The AIID plays a crucial role in:

• Improving AI Safety: By documenting incidents, the database helps identify areas where AI systems are vulnerable and need improvement.
• Promoting Transparency and Accountability: The database increases transparency in the development and use of AI, holding developers and users accountable for the consequences of their actions.
• Informing Policy Decisions: The database provides valuable data for policymakers to develop effective regulations and guidelines for AI.
• Fostering Collaboration: The AIID brings together researchers, developers, and policymakers to collaborate on solutions to improve AI safety and reliability.

Getting Involved

The AIID welcomes contributions from anyone who has experienced or witnessed an AI-related incident. Submitting a report is simple and helps to build a more complete and accurate picture of the risks and challenges associated with AI.

Visit the AIID website to learn more and submit your report today.