New South Wales in Australia has rolled out high-definition cameras to catch people using their cellphones while driving, according to media reports. The technology is intended to target illegal use of cellphones through fixed and mobile trailer-mounted cameras, New South Wales Minister for Roads Andrew Constance was quoted as saying by the CNN. The cameras use artificial intelligence to scan images and zero in on the offenders. The identified images will be verified by authorised personnel, and the images will be securely stored and managed, authorities said. As many as 45 portable cameras will be set up across the Australian state at unknown locations and without warning signs in the next three years, CNN affiliate Sky News Australia reported.
Phone use while driving remains a problem in many parts of the world, in no small part due to the difficulty of enforcing laws. How do you catch someone in the act? Australian police might not have that problem. The New South Wales government has started using the first cameras that can automatically detect when drivers are using their phones. The system uses AI to review photos for telltale signs of phone use, with human reviewing the flagged images to prevent any false positives.
Then it was your phone. Now governments in Australia want you to use facial verification to access government services, take public transport and even for your private viewing. Last month the joint standing committee on intelligence and security told the government it needed to rethink its plans for a national facial verification database built off people's passport and driver's licence photos. It said there weren't strong enough safeguards for citizens' privacy and security built into the legislation. Despite the concerns, Australian governments and agencies have come up with some creative reasons to justify the use of facial recognition and sell it to the public.
New South Wales courts could be flooded with tens of thousands of cases every year if the NSW government moves ahead with plans to roll out cameras that use artificial intelligence to detect drivers using their mobile phones, a parliamentary committee has warned. The state parliament is considering legislation that would allow mobile phone detection cameras to be placed around NSW to capture drivers using their mobile phones while behind the wheel. The government estimates that there were at least 158 casualties on NSW roads between 2012 and 2018 involving mobile phones. Under the plan, two cameras are used at each location, with one at an angle to capture people with phones to their ears, and a second placed to capture people using their phones in their laps. Every car passing through thelocation is snapped, and Transport for NSW says it then deploys artificial intelligence to determine which drivers were using their mobiles.
Some of the biggest businesses in Australia will trial a series of eight principles around artificial intelligence, developed as part of the Morrison Government's AI Ethics Framework. NAB, Commonwealth Bank, Telstra, Microsoft and Flamingo AI have signed up to test the principles to ensure they deliver practical benefits and translate into real world solutions. Minister for Industry, Science and Technology Karen Andrews said AI is a powerful technology that can create jobs, boost the economy and improve our quality of life and is an important part of the Government's economic plan. "The Morrison Government is determined to create an environment where AI helps the economy and everyday Australians to thrive. The eight AI ethics principles are just one part of this vision," Minister Andrews said.
Plan Jericho has introduced Ai-Search – an artificial intelligence (Ai) prototype – to transform airborne search and rescue. The prototype came about after Air Commodore Darren Goldie challenged Jericho to find a way of using a detector on an aircraft to enhance search and rescue (SAR). Plan Jericho's Ai lead Wing Commander Michael Gan said Jericho saw the opportunity to use Ai to augment and enhance SAR. "The idea was to train a machine-learning algorithm and Ai sensors to complement existing visual search techniques. Our vision was to give any aircraft and other Defence platforms, including unmanned aerial systems, a low-cost, improvised SAR capability," Wing Commander Gan said.
The Australian Security Intelligence Organisation (ASIO) has a problem, it collects too much data and might miss something. "That's the problem we are dealing with right now, given the threats are at the unprecedented level," recently installed Director-General of Security Mike Burgess said during his 38th day on the job. "There is the potential to miss something, the application of data analytics helps us to reduce the possibility of that being an event." ASIO is currently undertaking an enterprise-wide transformation that it believes will place it "at the forefront of agencies" using artificial intelligence and machine learning, according to its recent annual report. Providing an update on the project, Burgess said the organisation has so far put a new operating structure and model in place, as well as other foundational work subject to further government approvals.
Assessing regulatory compliance of personal financial advice is currently a complex manual process. In Australia, only 5%- 15% of advice documents are audited annually and 75% of these are found to be non-compliant(ASI 2018b). This paper describes a pilot with an Australian government regulation agency where Artificial Intelligence (AI) models based on techniques such natural language processing (NLP), machine learning and deep learning were developed to methodically characterise the regulatory risk status of personal financial advice documents. The solution provides traffic light rating of advice documents for various risk factors enabling comprehensive coverage of documents in the review and allowing rapid identification of documents that are at high risk of non-compliance with government regulations. This pilot serves as a case study of public-private partnership in developing AI systems for government and public sector.
The South Australian Government had recently launched a free autonomous vehicle trial that will deliver a first and last mile service between the Playford Alive Township and the Munno Para Train Station. As reported, the autonomous electric bus will run approximately every half hour on weekdays and will carry passengers from the Munno Para Railway Station to the Playford Alive Township, including stops at Mark Oliphant College and the Stretton Centre. The free autonomous shuttle bus service will include a morning and afternoon service window, with passengers collected from designated pick up points on the route. The Munno Para service is phase two of the Playford Connect autonomous bus trial. It follows phase one, which provided a free park and ride service from the Lionsgate Carpark through to the Lyell McEwin Hospital in Elizabeth Vale from October 2018 to June 2019.
Facial recognition could be used to replace swipe cards on public transport, the New South Wales government has suggested, but the opposition and digital rights groups say it would pose a risk to privacy. The transport minister, Andrew Constance, said on Tuesday he wanted commuters "in the not too distant future" to be able to board trains using only their faces, with no need for Opal cards, barriers or turnstiles. "I'm about to outline some concepts which may seem pretty crazy and far-fetched," he told the Sydney Institute on Tuesday. "But look at it this way – who would have thought in 1970 that you'd be able to use a handheld device to have a video conversation with someone on the other side of the world? "I want people to not think about their travel.