Teaching

Large intro-level AI course. Myself and various teaching assistants wrote 1-2 homework problems across 8 assignments that connects various ethics topics to the technical material of the course. We also created and filmed 10-15 minute ethics lectures that support these homework problems. Example topics include: dual use, safe exploration in reinforcement learning, reward hacking, and explainability.

Product management course focusing on design, organizational, and interpersonal skills. Myself and various teaching assistants created a lecture and class activity to help students understand how ethics and values are built into products.

Intro-level NLP course. Myself and various teaching assistants created three ethics units on sentiment classification, information retrieval, and large language models that were taught as in-class labs in a flipped classroom.

Intro-level computer systems. I facilitated homework assignments that bridge technical content of the course to topics in security and privacy including trust, partiality, and responsible disclosure.

Second course in the Stanford CS sequence, focus on object-oriented programming, data structures, and run-time. I created and taught a new lecture that encourages early-career CS students to think about how they can practice ethics beyond code-level or UI-level changes to products.

Large intro CS class for students with no prior programming background. I revised and taught lectures on end-to-end encryption and data ethics to support homework problems on these topics.

Design patterns for social computing systems. Myself and a teaching assistant wrote a reflection assignment to guide students in thinking about the ethical implications of their final projects.

2 week high school course on ethics in technology. Based on my UCSC HCI 220 graduate-level course.

Graduate-level course surveying topics related to tech ethics (e.g. race and gender issues, privacy, AI bias) and tech activism (e.g. labor movements). Course topics discussed through a design lens. Made a required course by the program director after the first offering in 2022. [site]

Upper-division undergraduate course that introduces various methods used in the design-research process. These include user interviews, usability testing, and low-fidelity/high-fidelity prototyping.

Undergraduate intro computer science course for non-majors. Students learn common data structures and how to use them to create interactive media.

Introductory undergraduate computer science course that introduces novice students to the basics of programming. Topics include data types, functions, and control flow.

Accelerated introductory undergraduate computer science course (taught in Java). Topics include functions, control flow, recursion, and basic data structures (e.g. arrays).

Introductory undergraduate computer science course that introduces novice students to the baiscs of programming.