Introductory Technical AI Safety Fellowship

Every semester and summer, AISST runs an 8-week introductory reading group on AI safety, covering topics like:

  • Expert predictions on AI progress, and when we can expect transformative impacts

  • How we train cutting edge language models, and potential safety failure modes

  • Why having the right training protocol might not be enough to guarantee the behavior we want from AI models

  • The cutting-edge research into the inner workings of neural networks

  • The current plans to make human-and-beyond-level AI safe, and how effective they are on current AI systems

See here for the curriculum from this past spring.

Applications to the summer fellowship are now closed. We expect applications to take no more than 15 minutes. Summer cohorts run in-person in our Harvard Square office, and virtually over Zoom.

For people interested in AI policy or governance, we recommend our Policy Fellowship. It is possible to participate in both fellowships.

Joint AISST and MAIA workshops, where members and intro fellows discussed AI alignment and interacted with researchers from Redwood Research, OpenAI, Anthropic, and more. Learn more here.

  • Past intro fellows have primarily been undergraduate, masters, and graduate students (as well as postdocs) from Harvard. We also occasionally accept students from other Boston-area universities. Non-student professionals are also welcome to apply, espcially during the summer fellowship.

  • Participants should be familiar with basic concepts in machine learning, such as deep neural networks, stochastic gradient descent, and reinforcement learning. We may group cohorts according to previous experience.

  • The Intro Fellowship presents AI safety from a technical perspective, often reading research papers discussing specific parts of the alignment problem. We don’t discuss the governance implications of these problems, though expect this background to be highly useful context for later work on AI policy & governance.

    We are also running the Governance, Policy, & Strategy (GPS) Fellowship, which we expect to be even more useful to governance-oriented people.

  • In the past, we’ve received over 300 each semester and accepted around half.

  • We ask for your availability in the application, and will attempt to accommodate people’s schedules when forming cohorts. Each cohort meets once a week for two hours, with dinner or lunch provided. We’ll be meeting in our office in Harvard Square.

  • If you’ve already read all the material in the curriculum, please email us at contact@haist.ai to discuss other ways of getting involved with HAIST!

  • The fellowship is facilitated by AISST members with research experience in AI safety. This includes upperclassmen and graduate students.

  • We have run four iterations: Fall 2022, Spring 2023, Summer 2023, and Fall 2023.