A Moral Agency Framework for Legitimate Integration of AI in Bureaucracies

TL;DR

This paper proposes a moral agency framework for integrating AI into bureaucracies that emphasizes accountability, transparency, and legitimacy, aiming to prevent ethics sinks and enhance organizational trust.

Contribution

It introduces a novel three-point framework for ethically and effectively embedding AI in bureaucratic systems based on Weberian principles.

Findings

AI can enhance transparency and legitimacy in bureaucracies.

Design decisions influence the emergence of ethics sinks.

The framework supports responsible AI integration that maintains accountability.

Abstract

Public-sector bureaucracies seek to reap the benefits of artificial intelligence (AI), but face important concerns about accountability and transparency when using AI systems. In particular, perception or actuality of AI agency might create ethics sinks - constructs that facilitate dissipation of responsibility when AI systems of disputed moral status interface with bureaucratic structures. Here, we reject the notion that ethics sinks are a necessary consequence of introducing AI systems into bureaucracies. Rather, where they appear, they are the product of structural design decisions across both the technology and the institution deploying it. We support this claim via a systematic application of conceptions of moral agency in AI ethics to Weberian bureaucracy. We establish that it is both desirable and feasible to render AI systems as tools for the generation of organizational transparency and legibility, which continue the processes of Weberian rationalization initiated by previous waves of digitalization. We present a three-point Moral Agency Framework for legitimate integration of AI in bureaucratic structures: (a) maintain clear and just human lines of accountability, (b) ensure humans whose work is augmented by AI systems can verify the systems are functioning correctly, and (c) introduce AI only where it doesn't inhibit the capacity of bureaucracies towards either of their twin aims of legitimacy and stewardship. We suggest that AI introduced within this framework can not only improve efficiency and productivity while avoiding ethics sinks, but also improve the transparency and even the legitimacy of a bureaucracy.