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Biometrics

Alternative labels
Biometric person authentication
Facial recognition
Subject Hierarchy
Broader terms
Surveillance
Current term
Biometrics
Permalinks
APO URI

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Report

No blood – no job: Australia’s privacy laws and workers’ rights


Organisations in Australia are using blood analysis as a means of screening future employees for ‘health risks’ that they allege may impact on their performance of work. This report examines the need for new provisions within either or both privacy or workplace relations laws that set out the rights of workers to protect their sensitive...
Report

Australian public attitudes to facial recognition technology

Gavin Smith, Pat O’Malley (Australian National University)
Christopher O’Neill (Deakin University)

While facial recognition technology (FRT) will likely play an increasingly important role in Australia as the technology is deployed in the name of security and convenience, this report reveals a relatively low level of public familiarity with the technology, its uses and the potential issues it raises, highlighting the need for more robust public education...
Submission

ADM+S Submission to The Joint Select Committee on Social Media and Australian Society

Jake Goldenfein, Timothy Graham, Lauren Hayden, Ariadna Matamoros Fernandez, Silvia Montaña-Niño, Christopher O’Neill, Christine Parker, Zahra Stardust, Nic Suzor, Kimberlee Weatherall


This submission considers some important and complex questions around the role of social media in Australian society by a large group of researchers from the ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S).
Discussion paper

A potential biometrics code of practice: discussion document


The increasing role of biometric technologies in the lives of New Zealanders has led to calls for greater regulation of biometrics. This discussion paper has been released to gather public feedback on any possible regulatory changes.
Report

Advancing child sexual abuse investigations using biometrics and social network analysis

Stephen Patterson, David Bright, Arun Ross, Katie Logos, Dana Michalski

This paper demonstrates how biometric features can be extracted from people in child sexual abuse material (CSAM) and examines using social network analysis to reveal important patterns across seized media files.