Final 2020 Gibbons lecture - 21st October

 The fourth and final 2020 Gibbons Lecture is on Wednesday 21st October 2020 from 6-7pm in Room B10, The General Library, 5 Alfred St. Refreshments and networking from 7pm.  

Please register here to attend in person, if you have not already done so.   This lecture will not be live-streamed nor available later as a podcast.

 

Social media, AI, and society: Some psychological insights

As advanced digital technologies become an indispensable part of nearly all aspects of everyday living, it is essential to consider the downstream effects on society.

In this talk, Associate Professor

Kumar Yogeeswaran from the College of Science at the University of Canterbury will consider social scientific evidence on how these indispensable technologies shape people’s attitudes, beliefs, and behaviours. 

This lecture is run in association with the Auckland ICT Graduate School, IT Professionals NZ, and Dr Beryl Plimmer.

See here for more details on the Gibbons Memorial Lecture Series.  

Third 2020 Gibbons lecture - 14th October

The third 2020 Gibbons lecture is on the 14th October 2020 from 6-7pm in Room B10, The General Library, 5 Alfred St. Refreshments and networking are after the lecture at 7pm.  

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.

Please register here to attend in person. The lecture will be streamed live and later available as a podcast.  

Gibbons Lecture Series - Big data: Transparency and reliability

The second 2020 Gibbons Lecture will be live-streamed only on 7 October 2020 at 6pm, due to alert level restrictions.

It will also be available later as a podcast.

 

There is near consensus in the emerging field of data ethics that processes and systems must be transparent and explainable to a wide range of stakeholders. 

In this talk, Professor Tim Dare from the Faculty of Arts at the University of Auckland will discuss why transparency and explainability have become central to data ethics and the reasons there are to question that centrality. Professor Dare will also discuss why we should be more concerned with reliability and with how automated systems compare, ethically, and with alternative ways of doing the tasks which might be done by automated systems.

See here for more details on the Gibbons Memorial Lecture Series.