AI: From Imagination to Reality

The emergence of generative AI has captured the public’s consciousness, with ChatGPT being one of the most prominent examples of this new age technology. From art and music to healthcare and scientific research, generative AI has the potential to revolutionise a wide range of industries and fields. However, as with any powerful technology, there are significant ethical concerns and potential risks that must be addressed.

Presented by UNSW Engineering and UNSW AI Institute, join our expert panellists for a thought-provoking discussion on the future of generative AI, its potential and pitfalls, the dangers of deep fakes, and the broader implications of AI for society, industry, and beyond.

Panel speakers:

- Wilson da Silva (Host), journalist and editor.
- Rita Arrigo, Strategic Engagement Manager, CSIRO National AI Centre.
- Aurélie Jacquet, Chair of the Standards Committee IT043 on Artificial Intelligence, Standards Australia.
- Sebastian Sequoiah-Grayson, Senior Lecturer in Epistemics, School of Computer Science and Engineering, UNSW Sydney.
- Toby Walsh, Chief Scientist at UNSW AI Institute, and Laureate Fellow and Scientia Professor of Artificial Intelligence at UNSW Sydney.

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UNSW AI Institute is the new flagship UNSW Research Institute in artificial intelligence (AI), data science (DS) and machine learning (ML).

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UNSW AI Institute is the flagship artificial intelligence (AI) research institute of UNSW (World’s 19th University in QS2024). It supports the activities of over 300 UNSW academics and over 50 research groups, labs and centres, working in AI, data science, and machine learning or applying them in their respective domains. Its researchers’ extensive track record in AI research and development capabilities across several faculties, including Engineering, Science, Business, Law, Medicine, Arts, Design & Architecture and UNSW Canberra, is well recognised globally. It has extensive expertise and capabilities in the development, application and translation of AI. The institute has several goals, including fostering interdisciplinary connections for both teaching and research, participation in public dialogue on AI, and driving the commercialisation of research.