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Privacy experts and legal advocates have criticised an AI mass surveillance pilot program, being rolled out in Western Australia. Since the trial began in June, cameras linked to facial recognition software have scanned more than 130-thousand people in Perth and Fremantle, comparing their faces against a police watch list in real time.

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00:02WA Police has been trialling this program since June, and as you mentioned, it is an
00:08AI facial recognition software that is used to compare faces that are scanned using normal
00:16CCTV cameras against a watch list of around 4,000 people.
00:21WA Police say that the people on the watch list include those accused of serious offences,
00:27people with a warrant out against them, and people who are missing people, as well as
00:33people who have been identified as a risk to themselves or others.
00:37This has been now happening for a couple of weeks, it is a trial and it is the first time
00:41an Australian police force has used this technology live, and WA Police say that it is something
00:48that they believe that other state police forces are watching quite closely.
00:53Obviously, this has raised privacy concerns.
00:56Yes, so facial recognition software and technology is well known for having potential racial biases,
01:05and that is because essentially this is an AI technology that is trained on thousands, tens
01:12of thousands, hundreds of thousands of faces, and through that process it learns how to recognise
01:18faces compared to other faces. Typically this data is, has like over-represented white demographic
01:30other faces, and so it sometimes faces issues with accuracy when it comes to demographics that
01:38aren't as necessarily well represented in that training data. Now, a similar, the same technology
01:45was trialled in the UK underwent official testing, and that testing showed that there was no
01:51statistical significant difference between demographics and gender in ideal conditions.
01:58But the issue that is raised is whether this technology is being used in those exact conditions as it is
02:05being trialled. For example, the conditions that were trialled are, you know, people going through a
02:11crowd straight on in perfect sunlight. Obviously, that's not exactly the way the world works, you know,
02:17different weather, different angles, and in particular, questions about how it might struggle with First
02:23Nations faces. That's because it seems very unlikely that this data has been, that this technology has been
02:31trained on a corpus of data that has First Nations faces in it. We asked WA police, we asked the
02:39provider,
02:40and neither said that they did. And so, as a result, there's reason to suspect, based on that, that it
02:46is
02:46unlikely that it would do as good a job as recognising those faces. What's the ramification of that? Well, if
02:53you're
02:53not as good at recognising those faces, you might fail to make matches, or you might make false matches. And
03:00so,
03:00in this case, what might end up happening is people would get wrongly recognised and accused of being
03:06on that watch list. Obviously, as we well know, that Indigenous Australians face already over-policing.
03:12So, there are real questions about what WA police has done to prepare for this very well-known issue.
03:19We, of course, have put it to them, and they have declined to say, but they've just said, you know,
03:23this is part of what the trial will be looking at.
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