The Seattle University AI4ALL is an experience for high school students interested in criminal law and artificial intelligence (AI). Throughout the two weeks, students will learn about the intersection of modern technology and criminal justice issues, such as bias and equity. This program is project-focused and will include engagement with law enforcement and Seattle area tech companies.

Seattle University celebrates academic excellence achieved through diversity.  Consistent with this value, we strive to make our high school programs accessible to all students. Thanks to the support of our generous sponsors, we offer full, holistic, merit scholarships to students who need financial assistance to attend.  Priority is given to students who are under-represented in higher education, including Black/African American, Hmong American, Latino/Hispanic, Indigenous/Native American, Nepalese American, and Pacific Islander descents. Please see the Scholarship page for more detail about how to apply.

Grade Level: high school freshmen, sophomores, juniors, and seniors

What is AI4ALL?

AI4ALL is a non-profit organization whose mission is to increase diversity and inclusion in artificial intelligence. AI4ALL was founded by leading AI technologists including Fei-Fei Li, Professor of Computer Science and Director of AI Lab at Stanford University, funded by key influencers including Melinda Gates and Jensen Huang.

Nonrefundable Deposit: $50

  • Paid once regardless of number of programs attended.

Cost of Attendance: $695

  • Includes college credits, course work, and virtual co-curricular activities.

Behind the Scenes of the Virtual Classroom

Photo of Pa Ousman Jobe

Pa Ousman Jobe

MS, Business Analytics, Seattle University
BA, Business Administration-Finance (Major) & Economics (Minor), Seattle University

Pa Ousman completed his Master’s in Business Analytics at Seattle University. Prior to joining the master’s program, he was the Community and Donor Relations Manager at Project Pilgrimage, a civil rights non-profit centering racial justice. He also worked briefly at Silver Creek Capital as an Investment Associate. He earned his BA in Business Administration from Seattle University with a major in Finance and a minor in Economics. While an undergrad, Pa Ousman served in various organizations, including as the Student Body President at both Highline College and Seattle University. He was part of the inaugural cohort of the Alfie Scholars program aimed at training and educating scholars to foster civility in the workforce. He was one of five recipients of the Distinguished Graduating Student award at Seattle University in 2018. Pa Ousman has developed experience in cross-cultural leadership and engagement, especially in diversity and inclusive excellence through serving the university bias prevention and climate care working group, university leadership council, Board of Regents and Trustees. He has also written and continues to research language and its implication to diversity in the business environment.

Pa Ousman enjoys connecting with people, building relationships, and celebrating diversity. His passions include playing and watching soccer, discussing strategies for an equitable workforce, reading, watching movies, and exploring nature. Social justice and fair treatment of people and resources are central to his values. Currently, he is working with some researchers on an Algorithmic Equity Toolkit that will be available to the public to help identify bias in AI systems and ask critical questions about AI to policymakers, especially around safety and security concerns.

Photo of Eric Lloyd, Faculty

Eric Lloyd, Faculty

MS, Computer Science, Florida Atlantic University
BS, Computer Science, Florida Atlantic University

Eric Lloyd comes from a background of working in industry as a Senior Data Scientist and teaching at several community colleges before Seattle University, including Palm Beach State College and North Seattle College. He is excited about helping to engage young men and women to pursue their careers through higher education and especially in anything related to data science.

Currently, Eric is developing himself by returning to get his Ph.D. in Computer Science as well as returning to research around machine learning optimization with a focus on Natural Language Processing. He is also involved with the Summer Business Institute here at Seattle University and looks to become more involved with helping students to succeed.

Photo of Brooke Gialopsos, Faculty

Brooke Gialopsos, Faculty

PhD, Criminal Justice

Dr. Brooke Gialopsos earned her PhD in Criminal Justice from the University of Cincinnati, with focuses in crime prevention and criminological theory. She also has a MS in Criminal Justice from Texas State University and a BA in Political Science from Texas A&M University. Her current research interests involve fear of crime and risk perceptions, sexual victimization, school-based victimization, and repeat victimization. She is also interested in environmental criminology, situational crime prevention, and capital punishment. Her works have appeared in Crime and Delinquency, Journal of Criminal Justice, Journal of School Violence, Journal of Contemporary Criminal Justice, Criminal Justice Review, Teaching of Psychology, and the Encyclopedia of Criminological Theory. She also co-authored a chapter in The Oxford Handbook of Criminological Theory. In addition, Dr. Brooke is a certified A.L.I.C.E. (Alert, Lockdown, Inform, Counter, Evacuate) instructor and educates members of the community on how to survive active shooter situations, in general, and school shootings, in particular. She is also an LGBTQ+ Ally and a Safe Zone educator.

Photo of Nathan Colaner, Faculty

Nathan Colaner, Faculty

PhD, University of Kansas
MBA, Seattle University
BA, Miami University of Ohio

Dr. Nathan Colaner is a Senior Instructor and Director of Business Analytics at Seattle University. He has also recently accepted the role of Managing Director of SU's Initiative in Ethics and Transformative Technologies.

His recent research is on the ethical development of machine learning, specifically regarding the creation of explainable artificial intelligence. His teaching revolves around organizational ethics, focusing on the ethical implications of organizations' increasing reliance on digital technology.

As a consultant, he works directly with business, government, military, and religious organizations to assess risk in implementing big data and AI solutions.