Examines a range of philosophical and normative topics relating to AI. Example: is it possible that computers are intelligent in the way that we use that term with regard to humans?
Examines the core concepts and techniques in AI, including breakthroughs in symbolic AI, machine learning, and neural networks. Real-world applications are presented, with a focus on AI research in Aotearoa/NZ and ethical considerations.
Practical building of AI systems to solve problems using different types of input data. Follows a pipeline including pre-processing data, choosing an adapted model architecture, making important design choices, tuning hyper-parameters, and evaluating the solution.Â
Focuses on business perspective on the use of artificial intelligence (AI) tools and solutions in organizations and explores how different AI-enabled tools and solutions contribute to organizational and societal objectives and values.