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Course Description

Artificial intelligence algorithms are designed to assist human decision-making processes ranging from driving, medical diagnoses, and language translation to criminal sentencing, drone targeting, and fraud detection. Each application area where machine learning is applied raises complicated ethical and legal issues of bias, oversight, privacy, accountability, and liability for these algorithms and the resulting automated decision-making they implement. This course aims to introduce students to the technical underpinnings of artificial intelligence so that they can better understand the range of policy options for addressing these issues. Each session will focus on a particular application area of AI and include roughly an hour of discussion of the technical implementation of how machine learning algorithms work in that area—what parameters they use, what data sets they are trained on, what kinds of decisions they make and how—followed by an hour of discussion of the policy and ethical considerations that those algorithms raise and how they might be addressed.

Basic Enrollment Requirements: Unofficial Transcript - Bachelor's + 3.0 GPA. 

Refund Policy:?The refund policy for Courses at Tufts offerings is dependent on the course length. Please refer to the section details to confirm any exceptions to the standard refund policy. The refund policies are viewable here:?  

Remission Eligible: Yes; first day of term; all university policies apply. 

Affiliated With:

  • Fletcher School of Law and Diplomacy