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Special Topic
In more or less perceptible forms, Artificial Intelligence (AI) is becoming increasingly pervasive in modern societies. Some instantiations of AI receive massive media coverage – as is the case with self-driving vehicles or autonomous weapon systems – others creep into our lives much less conspicuously – like AI-enabled decision-making systems using predictive analytics in financial services, the justice system, and in the healthcare sector. While these powerful, transformative technologies have the potential to solve many problems humanity is currently grappling with, their use also presents fundamental ethical, legal, and social problems, forcing us to rethink our most basic beliefs and values. Whether AI turns out to be a blessing or a curse to humanity probably largely depends on how we decide to shape these technologies in their infancy. It is therefore paramount to understand their very essence, to reflect on many social, moral, economic, and legal questions in order to determine the ways in which we wish them to influence our lives, and to implement those ideas in the form of robust, safe, and responsible AI regulation and policies. This course develop students understanding of the role of AI in decision making. Students will develop their understanding of the impact of AI in ethics, economics, decision making, policy making, and law.
By the end of this course a successful student should have:1. An overall understanding of the concept of AI, various AI applications across different social, economic, legal, and policy domains.2. An understanding of key current ethical, economic, and policy debates concerning AI research and development, as well as deployment of AI technologies. 3. Acquired the capacity to identify current and potential future legal loopholes related to the treatment of instantiations of AI and apply ethical and legal concepts and theories to propose solutions to eliminate such shortcomings. 4. Developed a general awareness of the gravity of AI-related issues at stake, and a keen sense of how distinct disciplines, national and international organizations, and research and interest groups involved in AI research think and interact with each other (BiCC, kaupapa 1 and 2). 5. Acquired the capacity to work independently and manage their time in order to meet course deadlines.
Subject to the approval of the Head of School
Gabor Erdelyi
Recommended reading• Poole, D. L., and Mackworth, A. K., Artificial Intelligence: Foundations of Computational Agents, (Cambridge University Press 2017).• Russell, S., Norvig, P., Artificial Intelligence: A Modern Approach, (Pearson Education, 2019).
Domestic fee $923.00
International Postgraduate fees
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see Mathematics and Statistics .