57304 The Ethics of Data and AI

Description

Data-driven AI systems form a key component of decision making in politics, culture, industry, and everyday life. Consequently, we are now seeing them at the centre of negotiations among different interests. The relationship between humans, data, and intelligent systems involves ethical dilemmas that reinforce existing power dynamics and create new ones. This subject focuses on developing common ground for debates on the function and development of data-driven AI systems. Drawing on insights from the humanities and social sciences, students gain a deeper appreciation for how the use of AI problematises issues of privacy, security, risk, bias, and accountability through the study of a range of real and hypothetical examples and case studies. Students gain a deeper appreciation of the moral and ethical foundations of transparency, fairness, accountability, privacy, security, and algorithmic bias. These concepts are applied to topics such as the ethics and regulation of data collection activities, algorithmic accountability, and the biases inherent in algorithms and data analytic tools.

Typical availability

Spring session, City campus

The subject is usually offered in these sessions. To confirm availability check the UTS Timetable Planner.