Intro to AI Safety Seminar (Fall 2024)
The Intro to AI Safety Seminar is an 8 week course which explores the impact of increasingly powerful AI systems on society, explains the problems which the AI safety field is currently working on, and goes over cutting-edge reinforcement learning and deep learning safety research by OpenAI, DeepMind, and Anthropic. The material is designed for students with or without strong technical backgrounds.

The seminar consists of a series of video and reading lessons which are accompanied by weekly, collective meetings that expand on the topics covered in the lessons. You can expect to learn from many prevailing sources in the field which will help you develop a solid research agenda that you may work towards in future semesters.

It will last 8 weeks, beginning on the week of September 9th and ending on the week of October 28th. It involves about 1 hour of independent reading and 1.5 hours of discussion each week. We expect this application to take you 20 minutes.

We’re looking for students who meet any of the following requirements:
  • Basic programming knowledge (e.g., intro to CS course, Python project experience, or proficiency in another programming language)
  • Interest in or familiarity with machine learning concepts
  • Curiosity about AI safety

However, if you do not meet the prerequisites or are not sure if you meet the prerequisites, feel free to still apply! We will review applicants on a case-by-case basis.

The application deadline is Sunday, September 1st, at 11:59 PM ET.

We will email out decisions by Friday, September 6th.

In the meantime, you can learn more about us at https://aispurdue.org/, or contact us at aisafetypurdue@gmail.com. We also have a Discord, which is linked at the end of this form.
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Name *
Email *
How did you hear about us? *
Required
What degree are you in, if any? *
What year of your degree are you in? *
What's your major? *
Select the topics you are familiar with: *
We expect people taking this course to have some basic familiarity with Python and multivariable calculus. Knowledge of the other topics here is a bonus!
Required
Do you have prior experience with AI safety work and arguments? If so, please elaborate.
 *
E.g. Reading books like "Superintelligence" by Nick Bostrom, "Human Compatible" by Stuart Russell, reading blog posts, reading AI safety papers, etc.

It's completely fine if this is your first time hearing of AI Safety.

(approx 1-4 sentences)
Do you have prior experience with machine learning? If so, please elaborate.
 *
E.g. Taking courses, doing projects, doing research, etc.

It's completely fine if you don't yet have experience with ML.

(approx 1-4 sentences)
Why are you interested in AI Safety? What do you hope to get out of this course?
 *
(approx 1 paragraph)
Have you joined our Discord? (recommended) *
https://discord.gg/pAMcszBDyB
Do you know anyone else who might be interested in taking this seminar?
Leave their name and email here, and we'll let them know so they have the chance to apply!
Anything else?
(space to tell us whatever you want)
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