Nonetheless, researchers famous within the FAQ that the Repository does have a number of limitations, together with being restricted to dangers from the 43 taxonomies, so it “could also be lacking rising, domain-specific dangers, and unpublished dangers, and has potential for errors and topic bias; we used a single professional reviewer for extraction and coding.”
Regardless of these shortcomings, the MIT Know-how Evaluate article acknowledged that findings “might have implications for the way we consider AI,” and in addition contained the next from Neil Thompson, director of MIT FutureTech and one of many creators of the database: “What (it) is saying is, the vary of dangers is substantial, not all of which might be checked forward of time.”
A dwelling work
Within the summary, Thompson and others concerned within the challenge wrote that the Repository, “is to our information, the primary try to carefully curate, analyze, and extract AI danger frameworks right into a publicly accessible, complete, extensible, and categorized danger database. This creates a basis for a extra coordinated, coherent, and full strategy to defining, auditing and managing the dangers posed by AI techniques.”
