Assessing Automated Administration

U of Penn Law School, Public Law Research Paper No. 22-28

In Oxford Handbook on AI Governance (Justin Bullock et al. eds., forthcoming)

22 Pages Posted: 15 Apr 2022

See all articles by Cary Coglianese

Cary Coglianese

University of Pennsylvania Carey Law School

Alicia Lai

University of Pennsylvania Law School ; U.S. Courts of Appeals

Date Written: April 13, 2022

Abstract

To fulfill their responsibilities, governments rely on administrators and employees who, simply because they are human, are prone to individual and group decision-making errors. These errors have at times produced both major tragedies and minor inefficiencies. One potential strategy for overcoming cognitive limitations and group fallibilities is to invest in artificial intelligence (AI) tools that allow for the automation of governmental tasks, thereby reducing reliance on human decision-making. Yet as much as AI tools show promise for improving public administration, automation itself can fail or can generate controversy. Public administrators face the question of when exactly they should use automation. This paper considers the justifications for governmental reliance on AI along with the legal concerns raised by such reliance. Comparing AI-driven automation with a status quo that relies on human decision-making, the paper provides public administrators with guidance for making decisions about AI use. After explaining why prevailing legal doctrines present no intrinsic obstacle to governmental use of AI, the paper presents considerations for administrators to use in choosing when and how to automate existing processes. It recommends that administrators ask whether their contemplated uses meet the preconditions for the deployment of AI tools and whether these tools are in fact likely to outperform the status quo. In moving forward, administrators should also consider the possibility that a contemplated AI use will generate public or legal controversy, and then plan accordingly. The promise and legality of automated administration ultimately depends on making responsible decisions about when and how to deploy this technology.

Keywords: autonomous systems, automation, artificial intelligence, AI, information technology, e-government, digital government, machine learning, constitutional & administrative law, algorithmic governance, big data

Suggested Citation

Coglianese, Cary and Lai, Alicia, Assessing Automated Administration (April 13, 2022). U of Penn Law School, Public Law Research Paper No. 22-28, In Oxford Handbook on AI Governance (Justin Bullock et al. eds., forthcoming), Available at SSRN: https://ssrn.com/abstract=4084844

Cary Coglianese (Contact Author)

University of Pennsylvania Carey Law School ( email )

3501 Sansom Street
Philadelphia, PA 19104
United States
215-898-6867 (Phone)

HOME PAGE: http://www.law.upenn.edu/coglianese

Alicia Lai

University of Pennsylvania Law School ( email )

Philadelphia, PA 19104
United States
8142066530 (Phone)

U.S. Courts of Appeals ( email )

Charlottesville, VA 22902
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
120
Abstract Views
525
rank
335,225
PlumX Metrics