Explainable AI (XAI) in Rules as Code (RaC): The DataLex approach

20 Pages Posted: 29 Apr 2022 Last revised: 16 May 2022

See all articles by Andrew Mowbray

Andrew Mowbray

University of Technology Sydney, Faculty of Law

Philip Chung

University of New South Wales (UNSW Sydney), Faculty of Law and Justice

Graham Greenleaf

University of New South Wales, Faculty of Law

Date Written: April 25, 2022

Abstract

The need for explainability in implementations of ‘Rules as Code (RaC)’ has similarities to the concept of ‘Explainable AI (XAI)’. Explainability is also necessary to avoid RaC being controlled or monopolised by governments and big business. We identify the following desirable features of ‘explainability’ relevant to RaC: Transparency (in various forms); Traceability; Availability; Sustainability; Links to legal sources; and Accountability. Where RaC applications are used to develop automated decision-making systems, some forms of explainability are increasingly likely to be required by law. We then assess how AustLII’s DataLex environment implements ‘explainability’ when used to develop RaC: in open software and codebases; in development and maintenance methodologies; and in explanatory features when codebases are executed. All of these XAI aspects of DataLex’s RaC are consistent with keeping legislation in the public domain no matter how it is encoded.

Keywords: AI, Rules as Code, Rac, Explainable AI, XAI

Suggested Citation

Mowbray, Andrew and Chung, Philip and Greenleaf, Graham, Explainable AI (XAI) in Rules as Code (RaC): The DataLex approach (April 25, 2022). Available at SSRN: https://ssrn.com/abstract=4093026 or http://dx.doi.org/10.2139/ssrn.4093026

Andrew Mowbray

University of Technology Sydney, Faculty of Law ( email )

Sydney
Australia

Philip Chung

University of New South Wales (UNSW Sydney), Faculty of Law and Justice ( email )

Kensington, New South Wales 2052
Australia

Graham Greenleaf (Contact Author)

University of New South Wales, Faculty of Law ( email )

Sydney, New South Wales 2052
Australia
+61 2 9385 2233 (Phone)
+61 2 9385 1175 (Fax)

HOME PAGE: http://www2.austlii.edu.au/~graham

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