INQ-277 | Artificial Intelligence Versus Human Cognition

Topic Description:

Do artificial intelligence systems succeed by mimicking human cognitive skills? If so, do they produce the skills in the same way as the human brain? This course involves hands-on experimentation using artificial intelligence models as a means of understanding the differences between machine and human performance; no programming experience required. It focuses on two Cognitive Psychology topics in which AI neural networks have become productive tools recently: visual object recognition and natural language processing. These, in turn, will lead us to explore the related topic of creativity. We will investigate how the process of categorization is a central topic in neural network theory with practical consequences for how both AI models and humans can jump to incorrect conclusions about groups of things. We will discuss how AI software is prone to reflect social stereotypes present in its programmers and in training datasets.

Course Types Offered: On-Campus

Topic Approved: October 2024