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Steps Towards the Singularity: AI and Its Impact (Series)

When:

Thu 4 May 2017, 6:00pm
Thu 11 May 2017, 6:00pm
Thu 18 May 2017, 6:00pm
Thu 25 May 2017, 6:00pm

Where: University of Auckland, Owen G Glen Building, 12 Grafton Rd, Grafton, Auckland

Restrictions: All Ages

Ticket Information:

  • Admission: Free

Listed by: science-marketing

The 2017 Gibbons Lectures Series topic is 'steps towards the singularity: artificial intelligence and its impact'. Hosted by the Department of Computer Science, University of Auckland, in partnership with IT Professionals NZ and Auckland ICT Graduate School.

Machines that mimic human cognitive functions, such as learning and problem solving, are said to exhibit artificial intelligence or AI. We are accustomed to computers reading text, consulting virtual personal assistants and GPS route finders, using voice control, and robotic assembly lines. Now we face the development of driverless cars, facial recognition, and robot physicians.

This plethora of very smart technology leads some to believe that we are rapidly approaching The Singularity - the hypothesis that artificial super-intelligence will trigger runaway technological growth and result in unfathomable changes to human civilisation.

Still, there is a continuous stream of research into advancing AI and corresponding concern about its impact. In this lecture series, we will explore what is happening locally.

Our lead speaker for 2017, Professor Nikola Kasabov from Auckland University of Technology, will discuss the research progress of AI from its deepest roots to the current frontier: applying AI to the big data of medicine. Professor Hans Guesgen from Massey University will explore the use of AI to improve the lives of elderly citizens – a topic that is of personal interest to many of us.

Associate Professor Marcus Frean, from Victoria University of Wellington, will take a more critical look at the current ‘hot topic’ of deep learning. Closing the 2017 series, with a discussion of the questionable impact of AI, will be Associate Professor Ian Watson from the University of Auckland.

Drinks and nibbles will be provided prior to each lecture from 6pm at Level 1 of the Owen G Glenn Building. Lectures will commence at 6.30pm and take place in OGGB3 on Level 0 of the Owen G Glenn Building.

Schedule:
4 May - AI: from Aristotle to deep learning machines
Professor Nikola Kasabov
Director of the Knowledge Engineering and Discovery Research Institute
Auckland University of Technology

11 May - Home smart home
Professor Hans Guesgen
Chair in Computer Science School of Engineering and Advanced Technology
Massey University

18 May - Deep learning - what's missing?
Associate Professor Marcus Frean
School of Engineering and Computer Science
Victoria University of Wellington

25 May - The ethics of AI
Associate Professor Ian Watson
Department of Computer Science
The University of Auckland

Find out more at the website.

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