2020 Gibbons Lecture 3: Learning to adapt to changes in this dynamic world
Room B10, The General Library,
5 Alfred St,
(also available to stream online)
This session will be both held in person and streamed live online.
The event address has been updated to the location on campus at the University of Auckland. For people connection remotely the link details have been emailed out to those registered - you can connect to the session here.
The Computer Science Department at the University of Auckland, in association with IT Professionals New Zealand, is pleased to announce the Gibbons Lecture Series for 2020. This year the lectures address aspects of AI and Society.
Artificial Intelligence (AI) promises to make improvements to our lives in so many ways, including enhancing efficiencies in the workplace, generating productivity gains and having a positive impact on our wellbeing. It also promises to help with even bigger issues like uncovering criminal activity and solving crimes, dramatically influencing healthcare, addressing global challenges, and reducing global inequities and extreme poverty.
AI promises to have a far-reaching beneficial impact in our society. This evokes not only excitement but also fear. There are fears around privacy, trust, freedom of speech and the usage of AI and its regulation.
The 2020 Gibbons Memorial Lecture Series will discuss the fears and excitement of AI today and in the future, and the impacts it could have both on and in our society.
Lecture 3: Learning to adapt to changes in this dynamic world
Much of scientific research involves the generation and testing of hypotheses that can facilitate the development of accurate models for a system. In machine learning the automated building of accurate models is desired, however traditional machine learning often assumes that the underlying systems are static and unchanging over time.
In this talk, Dr Yun Sing Koh from the School of Computer Science at the University of Auckland will discuss research in the area of data streams and how we adapt to changes in the data.
- 6-7pm Presentation
- 7pm-7:30pm Refreshments
This lecture series is free, but please register below.
Please note that this session may be video or audio recorded for viewing by other members at a later date. As it is possible that audience members may be incidentally recorded, please let us know if you specifically want to be excluded and we will ensure you are not shown.