AI, algorithmic and automation
incident and controversy repository
Little objective, clear, structured information and data exists in the public domain on the limitations, consequences and risks – direct and indirect - of artificial intelligence, algorithms, and automation.
An independent, free, open resource that is the most comprehensive, detailed, and up-to-date resource of its kind, the AI, algorithmic and automation incident and controversy (AIAAIC) repository details 700+ incidents and controversies from 6,000+ reports since 2012.
Inform and support analysis and commentary
Develop case studies
Devise training and education programmes
Develop risk and reputation management frameworks, methodologies, applications, and other tools.
The AIAAIC repository can be used to answer questions such as:
Examples of how the AIAAIC repository is used
Asia-based healthcare company: incident and crisis plan development
etami: development of a risk-based classification system for AI applications
Partnership on AI: AI incident database
Responsible AI Institute: Map of helpful and harmful AI
UK-based law firm: development of an AI legal case library
We and AI: research study on the personal risks of AI.