Psychologists are hoping a new, extra-difficult facial recognition test will help unearth more of Australia’s top performers in facial recognition — known as 'super-recognisers'.
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Articles on Facial recognition
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With face masks now compulsory or recommended in various parts of the country, how are facial recognition systems functioning?
Technology is not neutral, as facial recognition algorithms and predictive policing have shown us. Algorithms discriminate by design, reflecting and reinforcing pre-existing biases.
Avoiding drones' prying eyes can be as complicated as donning a high-tech hoodie and as simple as ducking under a tree.
Facial recognition algorithms will always make mistakes. But how can we make them less discriminatory?
There are questions being raised about the legality of scanning, storing and sharing facial images. The law currently doesn't prohibit even highly intrusive levels of surveillance by private entities.
Face surveillance makes it easier to oppress vulnerable populations and violate everyone's basic rights. It's time for a moratorium.
The US is also 'looking at' banning the Chinese social media app.
Police forces across the country now have access to surveillance technologies that were recently available only to national intelligence services. The digitization of bias and abuse of power followed.
Temperature-scanning systems are not always accurate at detecting fever, and raise a host of privacy concerns.
Recently, police forces have come under criticism for their engagement of facial recognition technologies. But pandemic response plans may increasingly incorporate surveillance.
There are few guarantees that the facial recognition system is secure or even that it is accurate.
You’d thinking flying in a plane would be more dangerous than driving a car. In reality it’s much safer, partly because the aviation industry is heavily regulated. Airlines must stick to strict standards…
How you feel about eating chips and wearing your pyjamas out – experiments show how differently you react when you're being observed.
The more we use facial recognition, the more we see its limits and its risks.
"Super-recognisers" who can identify a range of ethnicities could help increase fraud detection rates at passport control and decrease false conviction rates that have relied on CCTV.
A report calls for banning the use of emotion recognition technology. An AI and computer vision researcher explains the potential and why there's growing concern.
Human rights groups say the bill is an attempt to introduce mass surveillance to Australia and an egregious breach of individual privacy.
Surveillance software that identifies people from CCTV is eroding human rights and democracy.
You can't change your fingerprint if it's stolen like you'd change your password.
Top contributors
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Research Director of the Security and Surveillance Research group; Professor, The University of Queensland
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Senior Researcher and Project Manager, Advanced Surveillance Project, Data61
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Research engineer, Advanced Surveillance Project, Data61
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Scientia Fellow, UNSW
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Postdoctoral research fellow, Cornell University
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Senior Lecturer, School of Psychology, UNSW
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Associate Dean (Computing and Security), Edith Cowan University
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Postdoctoral Researcher, School of Media Arts and Technology, Solent University
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Francince McNiff Professor of criminal jurisprudence, Monash University
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Post-doctoral Research Fellow, UNSW
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Assistant Professor, School of Law, University of Canberra
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Associate Professor in Telecommunications Engineering, Swinburne University of Technology
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Associate Professor, Digital Sociology and Social Policy, The University of Queensland
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Clinical Psychologist, Deakin University
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Professor of Psychology, University of Melbourne
