AI Safety Fellowship Application
As a participant, you will join a weekly discussion group about topics within AI Safety and work on a capstone project ranging from a blog post examining a topic in AI safety to a workshop paper. For further information, learn more at https://www.aisi.dev/education Due February 2th, 11:59 PM EST. Expected Start Date: February 7th.
What program are you enrolled in? *
- Bachelor's student
- Master's student
- PhD student
- Not a student
- Reject
- Previously Rejected
Or when did you graduate?
Or what was your major?
What technical experience do you have? *
Which topics have you developed significant experience in through courses, research, or work?
- Object-Oriented Programming
- Data Structures
- Statistics
- Linear Algebra
- Multivariable Calculus
- Algorithms
- Machine Learning
- Natural Language Processing
- Computer Vision
- Deep Learning
- Business minor in CS and Econ
- Computer Science
- Data Science
- Business Management
- Electrical Engineering
- Computational Perception and Robotics
- Mechanical Engineering
Attach your resume *
This helps us understand context around your experience.
Attach file
Drop files here
Why are you interested in this fellowship? *
Have a look at the syllabus and list below which topic(s) or week you’re most excited about! This will also help you see if this fellowship is for you. Share why you are interested in the topic(s) you chose or the program in general. No more than 150 words. https://docs.google.com/document/d/1BAw0oX4eyVBXvz_58MeAINmZqonIjHdrsXq9KX1_JFo/edit?usp=sharing
- {name}
What are your career plans? *
In addition to what roles you want to work in, you can share what impact you hope to make with your career. No more than 100 words.
- {name}
Are you interested in research? *
Would you be interested in research roles during your education or after in your career? The research does not necessarily need to be technical.
- During your education
- After in industry
- After in academia
- After in government
- After at non-profits
- Object-Oriented Programming
- Data Structures
- Linear Algebra
- Statistics
- Machine Learning
- Natural Language Processing
- Algorithms
- Deep Learning
- Multivariable Calculus
- Computer Vision
What emergent risks from AI do you think are most important to address? *
This seminar primarily surveys open problems in AI alignment. These challenges open novel risks from increasingly capable AI systems. For reference, you may want to check out the following resources:
https://en.wikipedia.org/wiki/AI_safety#Research_foci
https://www.safe.ai/ai-risk
- {name}
How did you discover this program? *
- Email
- Digital Poster
- Friend
- Discord
- Class
- Tabling
- Flyers
- Other
How much money would you be willing to wager on being able to attend 4 out of 6 weeks of the program, understanding that participation will require 1.5 hours of effort a week. (Note: this is just a hypothetical, you won't be required to wager real money)
Is there any additional information you would like to share?
- {name}
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