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What Will Our Society Be Like When A.I. Is Everywhere?

SPARK Deakin
Event organized by SPARK Deakin

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What will our society be like when A.I. is everywhere? How will it affect the way we build businesses and engage with products and services?

This event is hosted by the Applied Artificial Intelligence Institute (A²I²) with special guests Goeff Webb, Svetha Venkatesh, Rajesh Vasa. You do not want to miss this one.

The Applied Artificial Intelligence Institute (A²I²) collaborates with industry to act as a catalyst for change through the use of Artificial Intelligence. Their team of research fellows, data scientists and software engineers contribute to the development of human-in-the-loop artificial intelligence and AI experimentation for sectors such as defence, health care, security, social media, advanced manufacturing and more.

Let's meet our guests:

Svetha Venkatesh is an ARC Australian Laureate Fellow, Alfred Deakin Professor and Director of Centre for Pattern Recognition and Data Analytics (PRaDA) at Deakin University. She was elected a Fellow of the International Association of Pattern Recognition in 2004 for contributions to formulation and extraction of semantics in multimedia data, and a Fellow of the Australian Academy of Technological Sciences and Engineering in 2006. In 2017, Professor Venkatesh was appointed an Australian Laureate Fellow, the highest individual award the Australian Research Council can bestow. Professor Venkatesh and her team have tackled a wide range of problems of societal significance, including the critical areas of autism, security and aged care. The outcomes have impacted the community and evolved into publications, patents, tools and spin-off companies. This includes 554 publications, 3 full patents, 3 start-up companies (iCetana.com, Virtual Observer.com) and a significant product (TOBY Playpad).

Geoff Webb is Director of the Monash University Centre for Data Science. He is a leading data scientist and the only Australian to have been Program Committee Chair of the two leading Data Mining conferences, ACM SIGKDD and IEEE ICDM. He received the 2016 Australian Computer Society's ICT Researcher of the Year Award, the 2016 Australasian Artificial Intelligence Distinguished Research Contributions Award, a 2014 Australian Research Council Discovery Outstanding Researcher Award and the 2013 IEEE ICDM Service Award and was elevated to IEEE Fellow in 2015. Geoff was editor in chief of Data Mining and Knowledge Discovery from 2005 to 2014. He has been Program Committee Chair of both ACM SIGKDD and IEEE ICDM, as well as General Chair of IEEE ICDM. He is a Technical Advisor to BigML Inc, who have incorporated his best of class association discovery software, Magnum Opus, as a core component of their cloud-based Machine Learning service. He developed many of the key mechanisms of support-confidence association discovery in the 1980s.

Rajesh Vasa currently leads the innovation effort at Deakin Software and Technology Innovation Lab (DSTIL). He builds intelligent homes, improving flow of traffic to alleviate congestion, predicting high risk events based on historical behaviour (data science), improving patient care in hospitals, rapid mobile application development using DSLs, collecting data using low-cost sensors (IoT), and helping build better software.