Nevertheless, 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being restricted to dangers from the 43 taxonomies, so it “could also be lacking rising, domain-specific dangers, and unpublished dangers, and has potential for errors and topic bias; we used a single knowledgeable reviewer for extraction and coding.”
Regardless of these shortcomings, the MIT Know-how Evaluation article said that findings “might have implications for a way we consider AI,” and likewise 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 will be checked forward of time.”
A dwelling work
Within the summary, Thompson and others concerned within the venture wrote that the Repository, “is to our data, the primary try to scrupulously curate, analyze, and extract AI threat frameworks right into a publicly accessible, complete, extensible, and categorized threat database. This creates a basis for a extra coordinated, coherent, and full method to defining, auditing and managing the dangers posed by AI programs.”
