Student Interest Form - AI4ALL Ignite Accelerator

The application for the Fall 2024 AI4ALL Ignite cohort is now closed. To show interest, and be notified when the 2025 application opens, please submit this form.


Why Should You Consider AI4ALL Ignite?
  • AI4ALL Ignite is a project-based virtual accelerator that offers undergraduate students the opportunity to work on an AI portfolio project with mentorship & guidance from AI industry experts, a student symposium to showcase work, and training in both career readiness and the AI technical internship interview
  • As part of the program,  you will gain skills that will set you apart in the AI internship application process, implement a responsible AI framework, and build a strong network of peers and AI practitioners while simultaneously fostering an environment of inclusion
  • Students collaborate on a AI/Machine Learning project and you’ll select your  project’s focus based on your interests. In the past, students have worked on topics such as Spotify’s algorithms and their effect on artist promotion, the use of facial recognition in the hiring process, and the use of AI in medical equipment.

Eligibility
 
AI4ALL calls in the next generation of Changemakers who will transform the way AI is developed and used.  We  seek students from communities that have been excluded from the AI space.  Then, we help them build identity in the field, and tap into their own agency and initiative as they build technical and leadership skills. Although we welcome anyone to apply, AI4ALL prioritizes students whose race, gender, or ethnicity have led them to be excluded from AI. We uplift the following intersections and identities: 
  • Black, Hispanic and Latinx, Indigenous folks; Women and non-binary folks

AI4ALL recommends the following academic requirements for applicants:
  • Undergraduate student enrolled in a U.S. college/university pursuing a major/minor related to Computer Science (e.g. Computer Science, Data Science, Electrical Engineering, Mathematics),
  • Basic programming in Python (e.g. CS1,) & will welcome students that work with languages other than Python
  • Probability and Statistics, & Linear Algebra.