14.C395
Algorithmic and Human Decision-Making
Explores how to design machine learning and AI algorithms that enhance human decision-making and tackle real-world societal challenges. Combines statistical ML frameworks with behavioral economics, focusing on applications in areas such as education, finance, economic mobility, and policy. Emphasizes identifying high-impact problems and building effective, reliable solutions. Students taking the graduate version will complete additional assignments.
Prerequisites & course information
Same subject as 6.C395J Subject meets with 6.C895J, 14.C895J Prereq: ( 6.3900 or 6.C01 ) and ( 6.3700 , 14.30 , or 18.600 ) U (Spring) 4-0-8 units. HASS-S
Sources
- Course catalogue ↗2026–2027