AI4ALL Prospective Summer Program University Partner Interest

Thank you for your interest in AI4ALL Summer Programs.

Decisions are made on a case-by-case basis, based on funding and partnership fit. 
We encourage institutions in the following categories to apply:
  • Top-tier research institutions
  • Demonstrated commitment to access for underrepresented populations
  • Located in geographic priority regions (Pacific Northwest, Midwest, Southwest, and the South)
  • Access to funding for program financial sustainability (3+ year commitment to partner with AI4ALL)
Participating universities have access to the following resources:
  • Core curriculum designed specifically for high school students from underrepresented backgrounds in AI
  • Seed funding for the first three years of the program
  • Program management support (student recruitment & admissions, summer camp logistics, sourcing field trips/guest speakers)
  • Access to community of faculty, industry and policy leaders committed to increasing diversity in AI
Please note that during the Covid-19 pandemic, AI4ALL is focused on supporting our existing partnerships and evaluating the landscape of university program expansion. With that mind, we will be limiting the number of new university partners we take on for summer 2022. We will respond to new university partner applications received during this time as our partnership capacity increases.
Applicant Details
College/University Interest & Commitment
Faculty & Staff Support
AI4ALL's summer programs are hosted by university AI/CS faculty and staff who serve as Program Directors (PD) and Coordinators (PC). AI4ALL works closely with on campus team and provides culturally responsive AI curriculum designed for high school students, and a handbook of resources to support the program. 

For successful planning and launch of an AI4ALL program, we suggest identifying two faculty/staff representatives who will serve as liaisons between the college/university and AI4ALL. 
Financial Sustainability
Student Recruitment
We aim to serve students from underrepresented groups in AI. This includes gender, ethnicity/race, socioeconomic status, and/or geographic diversity.