Course Logistics

Lectures: Tue/Thr 10:00am-12:00pm in 32-155

Course Overview

As we move towards artificially intelligent systems that are now responsible for making decisions previously entrusted to humans, there is an immediate need to question these intelligent machines. How do we know if the machines are working in our best interests? When something goes wrong, as it inevitably will, how do we determine the reason for the problem? How do we assign blame, if that is necessary? Will individual users and owners of these systems know enough about them to trust them? The goal of this course is to present the realistic risks (and possible solutions) of artificially intelligent systems from a global lens.

Prequisites

None. 6.034 recommended, but not required.

Assignments

There will be a weekly written assignment and an optional programming assignment.

An example of a one page extended abstract and a blog post are both acceptable.