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 Three:

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.

Yun Sing Koh is a Senior Lecturer in the School of Computer Science at the University of Auckland. She is an expert in data mining.

For more of our audio and visual content, check out our YouTube channel, or head to the University of Auckland’s manuscripts and archives collection.

Disclaimer: The ideas expressed in this lecture reflect the views of the lecturer and not necessarily the views of The Big Q. 

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