AI: Cognitive Aspects and Social Impacts

How is Artificial Intelligence transforming how we think and make decisions? Can machines surpass human intelligence? If so, what does this mean for the future of humanity? ISCI 203 - AI: Cognitive Aspects and Social Impacts explores these questions about AI by combining three lenses: information theory, cognitive science, and sociology. Students will learn about the foundations and mechanics of AI, from how statistical machine learning and neural networks have led to cutting-edge AI technologies and large language models (LLMs) that are impacting society. The course examines how the inner workings of AI systems can contain inherent biases that may accumulate and affect communities. Beyond understanding today's AI, students will investigate the possibilities of Artificial General Intelligence (AGI), Artificial Superintelligence (ASI), and the hypothetical 'Technological Singularity, a future point at which AI could surpass human intelligence and fundamentally transform human civilization. Must humans trust it?

Learning Outcomes/Objectives

Rather than simply teaching students how to use AI tools, ISCI 203 encourages students to understand how AI works, recognize its limitations, and consider its implications for humanity. The course critically examines the opportunities and risks associated with increasingly intelligent technologies through engaging discussions, collaborative activities, weekly reflections, and fast-paced student presentations. Students will develop both critical thinking and communication skills to evaluate AI's expanding influence. This three-credit course welcomes students from all academic disciplines who are curious about intelligence, technology, and the future.

Discover not just the mechanisms behind how AI works, but also what the future of cognition entails and what intelligence means.