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 Two:
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.
Tim Dare is a Professor of Philosophy at the University of Auckland. He is an expert in legal ethics.
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Disclaimer: The ideas expressed in this lecture reflect the lecturer’s views and not necessarily the views of The Big Q.
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