
Artificial Intelligence Meets Human Intelligence in the Computer Science Classroom - Fordham Now
Artificial Intelligence Meets Human Intelligence in the Computer Science Classroom
At Fordham University, the integration of artificial intelligence (AI) into the computer science curriculum is shaping the future of technology education. While AI can generate computer code rapidly, human intelligence (HI) remains indispensable. Faculty emphasize that understanding AI's limitations is integral to the training of computer scientists. Daniel Leeds, PhD, chair of the Department of Computer and Information Science, highlights the importance of teaching students to recognize and correct AI-generated code that may appear valid but is flawed.
Students learn to responsibly harness AI by engaging with sizable programs that incorporate data mining and machine learning fundamentals. This foundational knowledge equips them to develop better AI systems in the future. Courses in artificial intelligence have garnered strong student interest, reflecting the field's dynamic evolution over the past decade.
Research projects further expose students to AI's shortcomings and biases, like those found in image generation algorithms. For example, one student examined bias against heavier individuals, while others focused on disparities related to race, gender, and disability. Innovative approaches, such as combining AI with traditional mathematics, showcase how AI can enhance efficiency in various applications, including drug discovery.
By using AI as a tool for understanding programming concepts, students can refine their decision-making abilities. Upcoming seminars on the intersection of AI and quantum computing will deepen their expertise. As the field continues to evolve, students are prepared for the job market despite periodic fluctuations in demand for computer science professionals, demonstrating the ongoing relevance of a robust computer science education.


