*****************************************************DATA CREATORS*****************************************************

CREATORS:		Bello y Villarino, JM; Sinclair, A
CONTRIBUTORS:		Carney, T.; Weatherall, K., Wilcock S. The development of the dataset was supported by funding from the Australian Research Council (‘ARC’), and conducted by researchers from the ARC Centre of Excellence on Automated Decision-Making and Society (‘ADM+S’) (CE200100005). It also takes advantage of a dataset constructed as part of a university project funded and supported by the NSW Ombudsman under a research agreement entered between the NSW Ombudsman’s Office and the University of Sydney on behalf of a consortium of university partner institutions of ADM+S. The authors acknowledge the work of Paul Henman, Rita Matulionyte, Lyndal Sleep, Melanie Trezise, Jenny Van Der Arend, and Sergio Pinzón in that project.
CONTACT:		jose-miguel.bellovillarino@sydney.edu.au

********************************************************DATA FILES*********************************************************

FILE NAMES:		NSW ADM systems - Data for Publication.xlsx
ACRONYMS/CODES:		NA= Not Applicable / Annex I: reference to Annex I of EU AI Act / Names of systems as in repository
FOLDER STRUCTURE:	NA
RELATED FILES:		Underlying dataset for  Bello y Villarino et al ARE WE REGULATING THE RIGHT DIGITAL SYSTEMS? TESTING EMERGING ARTIFICIAL INTELLIGENCE FRAMEWORKS AGAINST REAL-WORLD PUBLIC SECTOR SYSTEMS, UNSW LJ

*****************************************************DATA SOURCES*****************************************************

WHERE:			NSW Australia
WHEN:			May 2025
HOW:			Human assessments
RESOURCES:		Expanded repository from https://www.ombo.nsw.gov.au/__data/assets/pdf_file/0008/145097/Compendium-of-ADM-Systems.pdf

****************************************************DATA DEFINITIONS****************************************************

VARIABLES:		High Risk EU? = Categorised as High risk in EU AI Act / Simp_HighREU = Simplified categorisation as High risk in EU AI Act (Yes/No/NA)	/ Potentially Elevated Risk NSW? = Categorised as Potentially Elevated Risk in NSW Assessment Framework / Simp_ERNSW = Simplified categorisation as Potentially Elevated Risk in NSW Assessment Framework (Yes/No/NA) /	AI EU = Categorisedas AI systems in EU AI Act taking into account the to Commission Guidance's note /	Simp_AIEU = Simplified categorisation as AI systems in EU AI Act taking into account the to Commission Guidance's note (Yes/No/NA)
CODES:			NA= Not Applicable 
UNITS:			No units used

**********************************************TECHNICAL REQUIREMENTS**********************************************

HARDWARE:		
SOFTWARE:		Microsoft Excel version 2507
FILE FORMATS:		.csv and .xlsl