AI Risk Repository: a comprehensive database for addressing artificial intelligence risks

The episode is dedicated to the "AI Risk Repository," a database that aggregates and categorizes risks arising from artificial intelligence. The repository uses two taxonomies: the "Causal Taxonomy," which analyzes the causes of a risk, and the "Domain Taxonomy," which classifies risks into seven key areas. The text delves into various types of risks, such as discrimination, privacy violations, disinformation, and attacks by malicious actors. The repository was developed through a systematic review of the literature, consultation with experts, and the use of data analysis techniques. The text concludes that the repository is a valuable tool for policymakers, researchers, auditors, and companies to identify, analyze, and mitigate AI risks.