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As AI becomes ever more capable there are growing opportunities for humans who can effectively collaborate with it, and growing risks for those who cannot. While the technical side of AI has been the focus of most research to date, considering the human is at least as important. Well-designed systems should empower, rather than sideline or control, the humans who interact with them; it is also necessary to consider the socio-technical context into which any system will be deployed.
Written human communication is more than a string of independent sentences. To extract meaning, rather than context-limited data, we need to consider a piece of text more holistically. This is integral to CSIRO’s work, notably in AI for Science where we aim to extract meaning at scale from the scientific literature.
Technology and society
Technology is having a dramatic impact on the demand for workers across different occupations, the location of work and how organisations operate. As well as identifying and responding to emerging trends such as changing skills demand, there is also the opportunity to proactively develop new industry clusters. Currently this is a distinctly hit-and-miss policy area so there is a pressing need for new science to better inform exactly how knowledge and innovations spread. In both economic and social terms there are few things more important than employment, so this really matters to Australia and Australians. It requires a multi-disciplinary approach and a focus on the national interest rather than any particular industry or organisation.