A LEGAL FRAMEWORK FOR ARTIFICIAL INTELLIGENCE FAIRNESS REPORTING

Artificial Intelligence and Legal Responsibility

There are two broad quest ions to be asked. F i r s t , t o what ex ten t ( i f any) can the making of — and the r e s p o n s i b i l i t y f o r — a g iven judgement or d e c i s i o n , or mis take,he a t t r i b u t e d to a_ computer-program? And second, supposing t h a t r e s p o n s i b i l i t y cannot be a t t r i b u t e d to a program, w i t h whom does it l i e ? Who is l e g a l l...

A Neuropsychological Framework for Advancing Artificial Intelligence

Passing the Turing test, understanding neural behaviour, understanding psychological behaviour, and developing useful Artificial Intelligence (AI) systems are all complex and interrelated problems. By a principled process of integrating models from these domains, it is hoped that steady progress will be made on a variety of research fronts. The authors propose a good way to develop the capacity...

Artificial Intelligence: Legal Research and Law Librarians

Artificial Intelligence: Some Legal Approaches and Implications

Various groups of ascertainable individuals have been granted the status of “persons” under American law, while that status has been denied to other groups This article examines various analogies that might be drawn by courts in deciding whether to extend “person” status to intelligent machines, and the limitations that might be placed upon such recognition As an alternative analysis: this arti...

An artificial intelligence framework for investigative reasoning

Problem solving is one of the major paradigms in Artificial Intelligence research in which an intelligent task to automate is interpreted as a series of problems to be solved. Various problem solving techniques have been spawned in the field of AI, mostly by concentrating on a certain reasoning approach to tackle a particular class of problems. For instance, theorem proving, constraint solving ...