Humanity and its Futures: AI and Human Cognition

ENG-SCI 294 Subject & Catalog Number

Description

This course provides students with an understanding of the complexities surrounding today’s most intractable problems and helps them develop methodologies for navigating the challenges they will face. After introducing systems thinking, with a focus on interconnections and feedback loops, the course will address a significant interdisciplinary issue: Artificial Intelligence (AI) and its relationship to human cognition.

The study of AI and human cognition is both timely and dynamic. This expansive domain integrates computer science, statistics, big data, cognitive science, psychology, and philosophy. As a transformative technology, AI has achieved remarkable success in understanding natural language and emulating human reasoning, making it invaluable in augmenting human cognition.

Despite these advances, many questions remain about the nature of AI and its relationship with human thought. This course invites participants to explore these questions through an intellectual journey. Students will engage in discussions on systems and paradigms, the essence of intelligence, computational approaches, mind and machine metaphors, cognitive biases in AI, and the role of AI in creativity and intuition.

The course emphasizes collaborative learning, with students working in teams to learn from each other, as well as from lectures and selected literature. Each lecture will be paired with research papers and books, followed by a discussion session.

The topics covered in the course are listed in the syllabus. Each will include an overview of the issue and its significance. Students will apply systems thinking and a multidisciplinary approach to analyze and critique each topic. By the end of the course, students will have developed a strong framework for multidisciplinary discussions, gained a deep understanding of AI’s power, limitations, and risks, and explored its technical building blocks through hands-on exercises. Additionally, students will experience the value of collaboration and the importance of diversity while working in diverse teams.

Course Notes

ES 294 (for graduate students) is also offered as ES 26. Students may not take both for credit.