INFO-I 340 Collaborative Human–AI Systems
3 credits
- Prerequisite(s): None
- Delivery: On-Campus, Online
Description
This course introduces human–AI interaction design for systems that solve problems neither humans nor artificial intelligence could solve separately.
Topics include interpretability, transparency, trust, and AI ethics. Student projects focus on developing applications where AI provides cognitive and perceptual augmentation to humans.
Learning Outcomes
- Design and develop symbiotic human–AI systems that balance the information processing power of computational systems with human intelligence and decision-making.
- Apply human-centered methods to characterize AI requirements in different domains and application areas.
- Evaluate the advantages, disadvantages, challenges, and ramifications of human–AI augmentation.
- Assess the benefits and limitations of AI in relation to human intelligence.
- Analyze the impact of a human–AI system on the individual, organization, and society from the standpoint of fairness and bias, ethical principles, and legal implications
Policies and Procedures
Please be aware of the following linked policies and procedures. Note that in individual courses instructors will have stipulations specific to their course.