Does AI have the power to control the spread of infection of COVID-19, discover cures and vaccines, and aid in the treatment of the critically ill? Or should AI practitioners step back and let the epidemiologists, clinicians, and microbiologists manage the response? Can we trust AI to guide decision making? Do we have access to the data we need and how can we share it whilst balancing patient privacy? We have assembled a world class panel of AI and medical experts to tackle our biggest crisis.
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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 for safety, testing, training, policies and procedures, auditing and oversight. And when things do go wrong, we investigate and attempt to rectify the issue to improve safety in the future. Other industries where things can go very badly wrong, such as pharmaceuticals and medical devices, are also heavily regulated.
Ethics of AI: While artificial intelligence promises significant benefits, there are concerns it could make unethical decisions. Prefer to listen to this story? Here it is in audio format. Artificial intelligence (AI) is fast becoming important for accountants and businesses, and how it is used raises several ethical issues and questions. While autonomous AI algorithms teach themselves, concerns have been raised that some machine learning techniques are essentially "black boxes" that make it technically impossible to fully understand how the machine arrived at a result.
A cross-disciplinary group of researchers used AI as part of an analysis of photos posted online that recognizes an association between happiness, life satisfaction, and nature. Researchers from universities in Australia and Singapore say the analysis demonstrates the biophilia hypothesis that humans are naturally attracted to nature and people around the world have a preference for nature in their fun activities, vacations, and honeymoons. The analysis of more than 31,000 photos also found that people in nations with high life satisfaction scores like Costa Rica and Finland tend to take a higher proportion of photographs during fun activities like weddings or recreation. Nature also appears prominently in vacation and honeymoon photos. The frequency of nature in different activities varied widely across countries.
An Australian team is using machine learning to tackle the threat of space junk wrecking new satellites. Research to tackle the growing need to find, capture and remove junk from space is advancing at the Australian Institute for Machine Learning in Adelaide, South Australia. Machine Learning for Space director Tat-Jun Chin and his Adelaide-based team have won a $600,000 grant from Australia's SmartSat CRC to continue their work in detecting, tracking and cataloging space junk. SmartSat CRC was established last year to work with the Australian Space Agency based in Adelaide, contributing to the Australian government's goal of tripling the size of the space sector to $12 billion and creating as many as 20,000 jobs by 2030. The space junk project is based on developing a space-based surveillance network and tackling the growing challenge of crowding in space.
More and more, across the globe, the effects of global warming are being felt. Global movements like Extinction Rebellion have repeatedly caused disruption by protesting in cities around the world and are symbolic of the growing attention being paid to this important issue. Despite the boom in public awareness, methods to combat the issue have been slow to develop – separating rubbish into recycling and general waste is as far as the majority of households go. More advanced technology, such as solar panels and wind turbines remain out of reach to many due to their high cost and space required for installation. However, another technology may have a far bigger impact in the fight against climate change.
Gernot Heiser is chief research scientist at CSIRO Data61 and Scientia Professor and John Lions Chair at UNSW Sydney, Australia. Gerwin Klein is chief research scientist at CSIRO Data61 and a conjoint professor at UNSW Sydney, Australia. June Andronick is chief research scientist at CSIRO Data61 and a conjoint associate professor at UNSW Sydney, Australia.
NTU SPIRIT Smart Nation Research Centre, together with the Singapore Judiciary, has successfully developed an Intelligent Case Retrieval System (ICRS) using AI capabilities. ICRS enables efficient retrieval of relevant precedent cases through the use of continuously adaptive AI/data analytics approaches. The use of such tools can help the legal profession to understand case details and perform legal research by trawling through the case repositories at a faster and more accurate rate to obtain the most relevant case precedents and identify possible outcomes in different areas of law. The value of ICRS is to better enable all parties to evaluate the strengths or weaknesses of their cases. With better quality legal submissions, judges too are assisted in their decision-making processes, thus elevating the quality of judgments delivered.
To capture cultural heritage is to capture the experience of people who are directly involved in creating, witnessing, and maintaining cultural heritage objects. Ideally, the people accessing digital representations of cultural heritage objects are able to understand the significance underlying the objects. The question is how to capture (the experience of) cultural objects in digital form. To illustrate our approaches, we pick one cultural heritage representative: rendang, one of the five national dishes of Indonesia, believed to have existed as early as the 15th century. From textual sources, we may learn about rendang and its history.