If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The newly released documentary Coded Bias from Shalini Kantayya takes the viewer on a tour of the way modern algorithms can undermine justice and society and are actively subverting justice at the present moment. Coded Bias highlights many under-discussed issues regarding data and its usage by governments and corporations. While its prescriptions for government usage of data are well considered, the issue of corporate use of data involves many additional issues that the film skirts entirely. As the film points out, we are presented these algorithms as if they were a form of intelligence. But they are actually just math--and this math can be used to, intentionally or unintentionally, encode biases.
But there is no doubt that the pandemic has hastened the adoption of emerging digital technologies, ushered in a new era of remote and flexible working arrangements, increased organisations' reliance on digital infrastructure and exposed our tech-related strengths and weaknesses alike. Leaving 2020 in the rear-view mirror, we count down our top 10 predictions for 2021 and beyond in the domain of Digital Law in Australia. Despite an existing principles-based framework for the protection of privacy under the Privacy Act, in recent years the Federal Government has preferred to introduce parallel privacy requirements, such as the 13 Privacy Safeguards under the Consumer Data Right legislation and the privacy aspects of the upcoming Data Availability and Transparency Act for Government agencies. These nascent regimes are similar enough to the existing privacy regime to encourage complacency and different enough to give any compliance function a headache. Overlapping and often sectorial regulation adds to the increasing complexity of privacy law in Australia.
Transparency, explainability, and trust are big and pressing topics in AI/ML today. Nobody wants to find themselves at the receiving end of a black box system that makes consequential decisions (e.g., about jobs, healthcare, citizenship, etc.), especially if those decisions are unfair, biased, or just plainly not in our favor. And most organizations agree that consumer trust and confidence that AI is being used ethically and transparently are keys to unlocking its true potential. And while there are literally hundreds of documents describing and prescribing AI principles, frameworks, and other good things, there haven't been any practical tools that could help with implementing transparency. On September 28, 2020, the Cities of Helsinki and Amsterdam jointly announced the launch of their public AI registers.
Lucknow: The UP government has collaborated with Austin University of the US for courses in artificial intelligence (AI), machine learning for cybersecurity management and data analytics for students of the state. The students will get a certificate or degree from the Austin University, recognized in over 65 countries and the course fees would be shared by the university and the UP government. Micro, small and medium enterprises (MSME) and export promotion minister, Siddharth Nath Singh told TOI that an MoU for collaboration between the technical education department of the state government and the Austin University has been signed on Wednesday. "This is a game changer in the field of higher and technical education as students will get a certificate from one of the best US universities while residing in any UP city. The certificate will make them useful for global brands," Singh said, adding that the North Californian university is producing over 30,000 students from its technical institutes every year and as compared to the progressive states of the country, UP lacked such advanced courses.
The pandemic has taught us many lessons and opened our minds to new ways of doing things, including understanding the potential of technologies such as artificial intelligence (AI) and machine learning (ML). AI/ML models and algorithms have supplemented the work of healthcare professionals, medical researchers, public health authorities and local administrations in monitoring and predicting trends. Lockdowns have led to a boom in Internet consumption. According to the Department of Telecommunications, Internet consumption in India rose by 13% after the lockdown was announced. Higher consumption has generated goldmines of user data that online businesses can harness.
Dec 3 (Thomson Reuters Foundation) - From robots delivering coffee to office chairs rearranging themselves after a meeting, a smart city project in China aims to put artificial intelligence in charge, its creators told a conference this week - raising some eyebrows. Danish architecture firm BIG and Chinese tech company Terminus discussed plans to build an AI-run campus-style development in the southwestern Chinese city of Chongqing during an online panel at Web Summit, a global tech conference. The project named Cloud Valley, plans to use sensors and wifi-connected devices to gather data on everything from weather and pollution to people's eating habits to automatically meet residents' needs, said Terminus founder Victor Ai. "It's almost coming back to this idea of living in a village where, when you show up, even though it's the first time you're there, the bar tender knows your favourite drink," said BIG founding partner Bjarke Ingels. "When our environment becomes sensing and sentient ... we can really open up that kind of seamlessness because the AI can recognise people coming. So it can open the door, so they don't have to look for their key cards."
Steve is the Head of Data Science and AI at Australian Computer Society, a proactive social media contributor and LinkedIn influencer. The intelligent software paradigm is taking over surveillance due to the pervasive nature of self-learning capabilities emerging in the space. In a traditional sense, surveillance is following the movement of someone. Across the globe, governments have invested heavily in setting up a surveillance infrastructure. There are millions of cameras, but no one to monitor them 24/7.
We need to cut global emissions, and fast – and in doing so, tech businesses are both part of the the problem - and the solution. A new report from the UK's Royal Society finds that as technologies keep growing at pace, the onus is on the digital sector not only to reduce its own carbon footprint, but also to come up with innovative ways to reverse climate change globally. While there is no exact figure that sums up the impact of digital technologies on the environment, the report estimates that the sector currently represents between 1.4% and 5.9% of global greenhouse gas emissions. At the same time, the industry is projected to make huge strides in the coming years: for example, the total number of internet users is expected to reach 5.3 billion by 2023, up from less than four billion in 2018. All this extra connectivity comes at an environmental cost.
Can computers read and apply legal rules? It's an idea that's gaining momentum, as it promises to make laws more accessible to the public and easier to follow. But it raises a host of legal, technical and ethical questions. The OECD recently published a white paper on "Rules as Code" efforts around the world. The Australian Senate Select Committee on Financial Technology and Regulatory Technology will be accepting submissions on the subject until 11 December 2020.