New Paper: Artificial Intelligence and Administrative Tribunals
I have a new paper, “Artificial Intelligence and Administrative Tribunals“, prepared for a forthcoming volume edited by Matthew Groves and Yee-Fui Ng. Here is the abstract of a fairly optimistic paper:
In this paper, I will examine the implications of artificial intelligence for administrative tribunals. I will briefly set the scene in Part I by describing the potential advantages and disadvantages of advanced technology for administrative tribunals. Although I have reservations about integrating AI into the daily operations of public administration, administrative tribunals may be a uniquely favoured site for technological experimentation. Since their origins in the 19th century the raison d’etre of administrative tribunals has been more efficient and effective decision-making. The very thing that artificial intelligence promises – efficiency and effectiveness – is exactly that which administrative tribunals have long primarily been designed to achieve. This is not to suggest, however, that administrative tribunals should move blindly forward and embrace AI in all shapes and forms. In Part I, I also suggest that careful, contextual analysis is required before using AI and lay out several typologies that are helpful in conducting the necessary analysis.
In Part II, I then discuss the ways in which administrative tribunals can use AI: communicating with the public and enhancing the accessibility of their websites; assigning decisions more effectively to members of the tribunal; triaging files to ensure decisions are made as quickly as possible; drafting decisions; and, conceivably, making decisions. These use cases are set out in increasing order of audacity. Machines making websites more usable for individuals is one thing, making life-defining decisions about individual rights and obligations quite another. In the end, though, I will argue that there is a broad range of potential uses for AI in administrative tribunals.
Download it here. Thoughts and comments very welcome!
This content has been updated on December 2, 2024 at 16:37.