Human-In-The-Loop Computation
This course is an exploration of the opportunities and challenges of human-in-the-loop computation, an emerging field that examines how humans and computers can work together to solve problems neither can solve alone yet. We will explore ways in which techniques from machine learning, game theory, optimization, online behavioral social science, and human-computer interactions can be used to model and analyze human-in-the-loop systems such as crowdsourcing markets, prediction markets, and user-generated content platforms. We will also look into recent developments in the interactions between humans and AIs, such as learning with the presence of strategic behavior and ethical issues in AI systems.
Prerequisites & course information
Credit 3 units. Eng: BMEII, CSEAPP, TOP, TOPEQ, TOPIII Typical periods offered: Fall, Spring
Sources
- Course catalogue โ2026โ2027