Learning Resources
Curated courses, tutorials, books, and videos to accelerate your AI journey.
AI Incident Database
Other · Partnership on AI
The AI Incident Database, maintained by the Partnership on AI, is a repository of documented cases where AI systems caused harm or behaved in unexpected ways in real-world deployments. As of 2024 it contains over 700 incidents. The database is searchable by harm type, affected population, deployer, and AI system type. AICI regards it as an essential reference for AI risk assessment — not because every incident is equally serious, but because the database provides the empirical foundation for claims about AI risk that would otherwise rely on hypothetical scenarios. Before conducting an AI risk assessment, review the incident database for the deployment context you are assessing.
Ollama — Run Large Language Models Locally
Other · Ollama
Ollama is an open-source tool for running large language models on local hardware — Mac, Linux, and Windows. It handles model downloading, quantisation, and serving through a simple CLI and API compatible with the OpenAI API format. With Ollama, a practitioner can run Llama 3.3, Mistral, Phi-4, or dozens of other models locally without cloud API costs or data leaving the device. AICI recommends Ollama as the most accessible way for AI governance practitioners to develop firsthand understanding of how language models behave — including their failure modes, their sensitivity to prompting, and the gap between benchmark performance and real-world utility. You cannot govern what you have not used.