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Machine learning

Alternative labels
Neural network modelling
Artificial neural networks
Deep learning
Large language model (LLM)
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Machine learning
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Report

The AI Generation: how universities can prepare students for the changing world


Recent advances in generative AI and automation have opened many exciting possibilities for boosting the British economy and business efficiency. This paper, supported by the University of London, considers how universities can continue to fulfil their employability function in this context of rapid and radical change.
Report

Artificial intelligence for public value creation: introducing three policy pillars for the UK AI summit


In this paper, they authors argue that - if the right economic framework is set - advanced artificial intelligence (AI) can help solve intractable problems and increase prosperity. But this rests on policy-makers developing an industrial strategy for AI, and beginning to put in place a robust regulatory architecture akin to the model of financial...
Submission

Draft G7 Guiding principles for organizations developing advanced AI systems

Kerrie Mengersen, Tamara Orth, Becki Cook, Bemali Wickramanayake

The Queensland University of Technology Centre for Data Science has prepared this submission to the draft Guiding Principles for Organizations Developing Advanced AI, prepared jointly by the EU and the G7 nations.
Report

Regulating artificial intelligence: the risks and opportunities


Far from being the ominous tool of destruction of science-fiction films, artificial intelligence (AI) already exists in many parts of everyday life. This report sets out the current state of AI, highlighting current uses of the technology, and dispelling some horror stories about its future.
Report

Designing gender equality into the future of law: final report


This research report examines the experience of women in the law, including discrimination, harassment and overwork.