2020 Gibbons Lecture 2: Big data: Transparency and reliability
Now online only.
Connection details for the webinar distributed to registered attendees
The link to connect has been emailed to attendees. To join the webinar please click here.
Please note this event is now online only. The connection details will be emailed out to all registered on the day of the event.
The university will make these talks available later as a podcast.
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 2: Big data: Transparency and reliability
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.
- 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.