Artificial intelligence (AI) has long been a feature of modern technology and is becoming increasingly common in workplace technologies. According to ManageEngine's recent 2021 Digital Readiness Survey, more than 86% of organisations in Australia and New Zealand reported increasing their use of AI even as recently as two years ago. But despite an increased uptake across organisations in the A/NZ region, only 25% said their confidence in the technology had significantly increased. One possible reason for the lack of overall confidence in AI is the potential for unethical biases to work their way into developing AI technologies. While it may be true that nobody sets out to build an unethical AI model, it may only take a few cases for disproportionate or accidental weighting to be applied to certain data types over others, creating unintentional biases.
The NSW government has announced the state will undergo a trial of home-based quarantine for people arriving in Australia based around a mobile app using geolocation and face recognition. The pilot will be jointly operated by NSW Health and NSW Police and entails a seven-day home-based quarantine program for around 175 people. It will be run across a four-week period and commence sometime this month. The app will use geolocation and face recognition technology to monitor whether a person is complying with the state's quarantine rules. It will also provide people with a testing schedule and symptom checker.
Queensland police are preparing to begin trials of an artificial intelligence system to identify high-risk domestic violence offenders, and officers intend to use the data to "knock on doors" before serious escalation. The "actuarial tool" uses data from the police Qprime computer system to develop a risk assessment of all potential domestic and family violence offenders. The algorithm has been in development for about three years and practical trials will begin in some police districts before the end of 2021. "With these perpetrators, we will not wait for a triple-zero phone call and for a domestic and family violence incident to reach the point of crisis," acting Supt Ben Martain said. "Rather, with this cohort of perpetrators, who our predictive analytical tools tell us are most likely to escalate into further DFV offending, we are proactively knocking on doors without any call for service."
Geoscape Australia, a government-owned geospatial data company, has announced it has partnered with an Israeli artificial intelligence start-up to use machine vision and deep learning technology to enhance its 3D digital maps of Australia. The CEO of Geoscape Australia said that the partnership will advance what is known about every address across the country. Applying the Israeli AI start-up's patented AI technology to the highest quality aerial imagery will significantly evolve the current digital model of Australia. The company says more accurate digital models of Australia's urban environment will enable the data-driven foundation of Digital Twin applications that better reflect the real world. The up-to-date data will also improve the assessment of risk for insurers, allow architects to visualise new developments in the context of their surroundings, help noise modellers better understand what will be impacted by noise, and power modelling of energy use patterns in commercial and residential buildings.
Striking a blow to patent applicants seeking to assert inventorship by artificial intelligence ("AI") systems, the U.S. District Court for the Eastern District of Virginia ruled on September 3, 2021 that an AI machine cannot qualify as an "inventor" under the Patent Act. The fight is now expected to move to the Federal Circuit on appeal. Proskauer has been closely monitoring the quickly-developing legal treatment of AI systems, especially in view of their implications for life sciences patents. AI's presence in life sciences innovation is well established, for example, to predict biological targets of prospective drug molecules and to identify drug design candidates (among many other applications). As we reported in August, two countries--Australia and South Africa--have already permitted AI systems to qualify as "inventors" in patent applications. However, hope for a worldwide trend have been dashed, at least for now.
A pilot involved with testing technology that alerted drivers about upcoming on-road hazards, including red lights, pedestrians, and bike riders in Queensland's Ipswich has now wrapped up after nine months. As part of the Ipswich Connected Vehicle Pilot (ICVP), 350 participants had their cars retrofitted with cooperative intelligent transport systems (C-ITS) technology, including an antenna mounted on a roof-rack, in-vehicle communications box placed under the driver's seat, and a display on the dashboard that signalled safety warnings to the driver. The equipment enabled each vehicle's position, speed, and other data, to be shared, while it also received data from traffic signals and traffic management systems related to traffic lights, speed limits, road works, and road hazards. The pilot covered 300 square kilometres within the Ipswich local government area, and included 30 traffic signals fitted with roadside communication devices. These devices, plus those that were installed in participant vehicles, had access to cloud-based data sharing systems throughout the pilot area. The ICVP was delivered by Queensland's Department of Transport and Main Roads, in partnership with Motor Accident Insurance Commission of Queensland, Telstra, Queensland University of Technology's Centre for Accident Research and Road Safety Queensland, iMOVE Australia, Ipswich City Council, and the Department of Infrastructure, Transport, Cities and Regional Development.
Dating app Tinder has launched a new tool called Explore that lets users search for potential matches based on their interests. In Explore, users can discover dates who share a love for'every mood and activity', such as gaming, music, food and – for those who want to form a'power couple' – entrepreneurship. Explore, found as a separate tab within the Tinder app, expands on previous filters that had helped users find a date – age, location and sexuality. By giving users the option to navigate through profiles arranged by interest, Tinder is giving users more control over who they meet, according to the company. Explore is now rolling out for users in the UK, the US, Australia and New Zealand, and will be available globally by mid-October.
Microsoft has announced plans to cement Azure Space as a key player in the growing Australian space market through new partnerships with Nokia, the University of Adelaide's Australian Institute for Machine Learning (AIML), and the South Australian government. Microsoft launched its Azure Space initiative last October. Azure Space was developed by the tech giant to position Azure in the space and satellite-related connectivity and compute part of the cloud market. Azure Space Australia's operations are based in Adelaide's Lot Fourteen and is headed up by former US Air Force colonel Lynn McDonald. On Thursday, the tech giant said it inked an agreement with Nokia and the South Australian government to build communications, connectivity, and advanced data processing solutions featuring satellite imagery, AI analytics, and 5G-based technology that could be used for various applications such as rail safety, mine automation, defence, and public sector use cases.
The app has added features to find matches in other ways, profiles that allow users to record snippets on their interests to Tinder Passport, a paid product that gives users the chance to find matches across the world. The company has also expanded into interactive dating features, such as Vibes, a 48-hour event in the app that asks users to respond to a series of questions to match with others who participate. The new Explore section includes more than 15 types of interests, such as "foodies," "gamers," and "animal parents." Different interests will surface to users depending on their locations, the time of day and their own passions. It is available to Tinder users in the U.S., U.K, Australia and New Zealand to start.
The emergence of artificial intelligence-related technology as a means of innovation has led to uncertainties for companies across industries, primarily because patent law has historically held that intellectual property rights be assigned only to humans. Now, in a landmark decision, an Australian court has set a groundbreaking precedent, deciding AI systems can be legally recognised as an inventor in patent applications, challenging a fundamental assumption in the law: that only human beings can be inventors. The AI machine called DABUS is an "artificial neural system" and its designs have set off a string of debates and court battles across the globe. Australia's Federal Court has now made the new law that "the inventor can be non-human" in the same month that South Africa became the first country to defy the status quo and award a patent recognising DABUS as an inventor. AI inventor and creator of DABUS, Stephen Thaler has been running a sutained global campaign to have DABUS recognised as an inventor for more than two years.