philip lelyveld The world of entertainment technology

MIT releases comprehensive database of AI risks

... The AI Risk Repository tackles this challenge by consolidating information from 43 existing taxonomies, including peer-reviewed articles, preprints, conference papers and reports. This meticulous curation process has resulted in a database of more than 700 unique risks. ...

The repository uses a two-dimensional classification system. First, risks are categorized based on their causes, taking into account the entity responsible (human or AI), the intent (intentional or unintentional), and the timing of the risk (pre-deployment or post-deployment). This causal taxonomy helps to understand the circumstances and mechanisms by which AI risks can arise.

Second, risks are classified into seven distinct domains, including discrimination and toxicity, privacy and security, misinformation and malicious actors and misuse. 

The AI Risk Repository is designed to be a living database. It is publicly accessible and organizations can download it for their own use. The research team plans to regularly update the database with new risks, research findings, and emerging trends. ...

Beyond its practical implications for organizations, the AI Risk Repository is also a valuable resource for AI risk researchers. The database and taxonomies provide a structured framework for synthesizing information, identifying research gaps, and guiding future investigations. ...

“We will use this repository to identify potential gaps or imbalances in how risks are being addressed by organizations,” Thompson said. “For example, to explore if there is a disproportionate focus on certain risk categories while others of equal significance are being underaddressed.” ...

See the Risk Repository here: https://airisk.mit.edu

See the full story here: https://venturebeat.com/ai/mit-releases-comprehensive-database-of-ai-risks/