Intro Seminars

<<APPLY HERE>> by Friday February 9th 11:59PM 

We are not able to offer a governance seminar this semester but those interested can email Nick Ritter (nr7@princeton.edu) for a reading list and the opportunity to talk to a PhD student about the subject!

These seminars serve as an introduction to alignment and governance to many, and is offered at other institutions such as Cambridge, Harvard, MIT, Michigan, Oxford, Stanford, UC Berkeley, and UCLA. 

Intro to AI Alignment 

For 8 weeks, you’ll spend 2 hours per week with a group of 4-8 participants and a discussion facilitator, switching between reading or watching material and discussing, there are no required readings outside of meetings. We aim to give you an overview of AI alignment — the research field aiming to align advanced AI systems with human intentions — and will touch on topics like interpreting the internals of neural networks, reinforcement learning from human feedback, and concrete ways that transformative AI might go really badly. Prior machine learning experience is not necessary. We will be using this curriculum which is adapted from here. 

Past Facilitators - Technical Track

• Alexis Chevalier, mathematician at the Institute for Advanced Study

• Brittanny Gelb, mathematics PhD student at Rutgers 

• Devon Wood-Thomas, physics undergraduate student at Princeton

• Carlos Jimenez, CS PhD student at Princeton

• Jaydeep Singh, mathematics PhD student at Princeton

• Hunter Wieman, economics PhD student at Princeton

• Will Long, neuroscience PhD student at Princeton

Intro to AI Governance 

For 8 weeks, you’ll spend 1 hour a week with a group of 4-10 participants and a discussion facilitator, discussing the material you have spent around 1 hour reading outside of the meetings. We aim for participants to gain foundational knowledge for doing research or policy work on the governance of transformative AI. It covers research up to 2023 on why AI governance may be important, what large-scale risks AI may pose, which actors will be important in steering the trajectory of AI, and what strategic considerations and policy tools may influence these actors. Curriculum here.

Facilitators

• Nick Ritter, economics PhD student at Princeton

<<APPLY HERE>> by Friday February 9th 11:59PM