The AI Utility Levels Schema – Building an AI Classification

  • By

This is a sneak preview to one of the features of a project I am working on. (It’s still in beta, but ripe for the sharing.) So what you have here is an AI Utility Levels matrix. It is a companion schema to the “A” through “D” AI capability levels that I first introduced in the Mapping AI Taxonomy post. Now, there’s more to this, but for the sake of brevity I will just note that together they serve as essential ingredients for building a concise AI classification system, where an AI application can be classified as, for example, a “Level A2” application. If you read the post I linked to, you will appreciate that the alpha designation ties to the AI’s interaction (user/source) capabilities and the numeric value to functional capabilities. This approach aims to help construct and apply relevant laws to AI.

Level

 Application Scope Example
 

A

 Understand Behavioral advertising
 

B

 Perceive, understand Play rule-based games such as chess or Go; tax prep chatbot; Buy goods and services based on pre-selected criteria (price, type, legal meta data).
 

C

 Perceive, understand, predict (probabilistic reasoning) Buy goods and services based on past and predictive patterns; perform certain fiduciary duties; personhood compatible
 

D

 Perceive, understand, predict, manipulate Negotiate and execute contracts, buy, and sell virtual property, sue, settle, collect damages; personhood compatible; personal liability compatible.