There are two tracks:
- AIEA project track this is for new K-12 students that are interested in learning about the active projects in the AIEA Lab. To be eligible to join the lab after summer as an active member (see below) you must complete the 10 onboarding tasks within the summer.
- Independent track this is for any K-12 student that is interested in learning more about research in the AIEA lab by proposed their own project.
Leilani H. Gilpin (she/her), Assistant Professor of CSE Email: [email protected] Office: E2 347B Office Hours: By appointment
I am excited about teaching intelligent systems to explain themselves. I joined the faculty of UCSC in 2021 as an Assistant Professor in Computer Science and Engineering. I previously developed a new, short course on AI and global risks at MIT, and was a teaching assistant for Large Scale Symbolic Systems. I typically teach AI (CSE 140, CSE 240) and responsible data science (CSE 246) and Machine Learning (CSE 142, CSE 242).
The course is structured around a set of deliverables, meetings, and status forms. Students will work either individually or in small teams of 2-4 persons to complete a set of deliverables over the summer. The expected commitment is ~10 hours per week. Each task will require a set of deliverables to be submitted via a weekly form (e.g., presentation, report, code, results).
The full grading guidelines are available here.
Students interested in joining the AIEA lab as an active member must complete all the tasks of their chosen project, regardless of the number of points earned, as these tasks are the basics of the research projects carried on by our lab. All the students who complete the 10 deliverables by the end of the summer (the last day of instruction) will be invited to become an active lab member of the AIEA lab.
The available projects for Summer 2026 are:
- Robustifying Autonomous Vehicles (AVs)
- NeuroSymbolic AI (NeSy)
- Explainable Grading Guidance (EGG)
- Neuron Explanations
- Ethical and Responsible Societal Systems