About

The UW Instance of AI4ALL is an AI4ALL-sanctioned program run under the Taskar Center for Accessible Technology, an initiative by the UW Paul G. Allen School for Computer Science & Engineering.

Our specific AI4ALL instance aims to increase diversity and inclusion in AI by making all AI4ALL curriculum accessible. This summer we will host the second annual AI4ALL camp at UW, focusing on inclusion of students with disabilities. If you are interested in applying or know someone who is, applications are now open. Please navigate to the application page.

We are incredibly excited that for another year, we will be joined again by our colleagues and faculty from IFDS at UW in teaching the summer cohort. More about IFDS below.

With any inquiries regarding the AI4ALL@UW program, please email uwtcat@uw.edu

About IFDS:

Data science is making an enormous impact on science and society, but its success has also uncovered pressing new challenges: Outcomes and decisions arising from data science processes are not robust to errors and corrupted data; algorithms can unintentionally yield biased and unfair outcomes; and new methods are needed for learning in dynamic, interactive, and adversarial environments. Only by an appeal to the foundations of data science can we understand and address these challenges. Funded by the NSF, the Institute for Foundations of Data Science (IFDS) brings together researchers from the fields of computer science, mathematics, statistics, and engineering, and organizes its research around four core themes: complexity, robustness, closed-loop data science, and ethics and algorithms. By making concerted progress on these fundamental fronts, IFDS aims to lower the barriers to better understanding of data science methodology.”
Webpage: ifds.info