Jonathan Zittrain, Visiting Professor
This course will pursue a cross-disciplinary investigation of the development and deployment of the opaque complex adaptive systems that are increasingly in public and private use. We will explore the proliferation of algorithmic decision-making, autonomous systems, and machine learning and explanation; the search for balance between regulation and innovation; and the effects of AI on the dissemination of information, along with questions related to individual rights, discrimination, and architectures of control.
The course will meet at MIT and will entail a diverse array of learning and teaching methods, and students will be expected to participate in a variety of activities that will involve interaction with Berkman Klein Center and Media Lab fellows.
Opening Event Part 1: Joi Ito
Opening Event Part 2: Jonathan Zittrain
Opening Event: Panel 1
Opening Event: Panel 2
Class 1: Autonomy, System Design, Agency, and Liability
Class 2: Algorithmic Bias
Class 3: Ownership, Control, and Access
Class 4: Governance, Explainability, and Accountability
Class 5 : Labor, Automation, and Regulation
Class 6: Conclusion