Courses

STS 380 Ethics, Human Society, & Artificial Intelligence

The widespread use of systems powered by artificial intelligence (e.g. facial recognition, self-driving cars, large language models, etc.) has exploded over the last decade and will continue to proliferate over the next decade to nearly all sectors of society. It can be argued that the usefulness of such systems and the confidence we place in their output is directly linked to their ability to make decisions and reach conclusions that align to our values and ethics. This course will focus on ethical pitfalls present and anticipated in the burgeoning ecosystem of artificial intelligence, including: algorithmic bias, epistemological opacity, perils of reinforcement learning, violations of privacy, exploitation of surveillance products, automation and its impact on labor, environmental sustainability, and the accountability of autonomous systems. Students will analyze potential solutions to ethical quandaries of Al and evaluate proposed methods for reliable governance of Al systems. In addition to viewing Al and machine/deep learning systems as objects for our use, the course will explore the notion of Al as subjects, with consideration made to future moral status and the rights and responsibilities accompanying such an attribution. Prerequisite(s): AIM 350
  • Level: 300
  • Credits: Credits:3 (3,0)

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