James Weichert

Hi, I'm James. 👋

I'm an assistant teaching professor at the University of Washington Paul G. Allen School of Computer Science & Engineering.

I recently finished my M.S. in Computer Science at Virginia Tech, where my research in the Machine Learning Lab focused on AI ethics and policy, including AI regulation and AI ethics education. I graduated from UC Berkeley in May 2023 with majors in computer science and data science and a minor in public policy. My scholarship focuses on the intersection of public policy, data, technology, and education. As a CS educator, I am passionate about creating an inclusive and supportive environment for students to discover a love for computing. In my spare time, I like to travel 🚆, read 📚, and cook 🍳.

Stay tuned for more updates as I continue my teaching career at UW!

My teaching experience spans both undergraduate and graduate courses covering a wide range of topics in computer and data science, including Python and Java programming, data manipulation and visualization, statistics, linear algebra, classical machine learning, and computing ethics. I am particularly passionate about teaching courses on introductory programming, data science and machine learning, and social implications of computing.

University of Washington

• CSE 160 Data Programming

  Winter 2026

• CSE 480 Computer Ethics Seminar

  Winter 2026

• CSE 121 Introduction to Computer Programming I

  Autumn 2025

Virginia Tech

• CS 4664 Machine Learning Capstone

  Spring 2025

• CS 5805 Machine Learning I *

  Fall 2024

• CS 5806 Machine Learning II *

  Spring 2024

• CS 1114 Introduction to Software Design

  Fall 2023

University of California, Berkeley

• Data 6 Introduction to Computational Thinking with Data

  Summer 2022, Summer 2023

• Data 8 Foundations of Data Science

  Fall 2021, Spring 2022, Fall 2022, Spring 2023

* Graduate course

My research explores the dual role of CS students as consumers of and learners about AI technologies. I am interested both in what government policies might shape the development and use of AI, and in how we teach students about AI and its impacts on society. A particular strand of inquiry explores student attitudes and competencies related to AI ethics and policy, culminating in the creation of a two-lecture "AI Policy Module" for technical AI/ML and standalone CS ethics courses. The module is intended to go beyond the 'surface-level' treatment of AI ethics, focusing instead on how tools, policies, and governance structures can be leveraged to promote the responsible development and use of AI.

Thesis

Publications

2025

• J. Weichert, D. Kim, Q. Zhu, J. Kim, and H. Eldardiry (2025). "Assessing Computer Science Student Attitudes Towards AI Ethics and Policy," AI and Ethics.
• J. Weichert and H. Eldardiry (2025). "Economic Competition, EU Regulation, and Executive Orders: A Framework for Discussing AI Policy Implications in CS Courses," Arxiv. Poster recently accepted at ACM Technical Symposium on Computer Science Education (SIGCSE) 2026.
• J. Weichert, D. Dunlap, M. Farghally, and H. Eldardiry (2025). "The AI Policy Module: Developing Computer Science Student Competency in AI Ethics and Policy," IEEE Frontiers in Education 2025.
• J. Weichert and H. Eldardiry (2025). "Educating a Responsible AI Workforce: Piloting a Curricular Module on AI Policy in a Graduate Machine Learning Course," American Society for Engineering Education (ASEE) Annual Conference 2025.
• E. Ali, J. Weichert, Y. Sun, H. Eldardiry, Q. Zhu, and D. Kim (2025). "Exploring Translational Ethical Competency (TEC) in AI Design: Conceptual Analysis and Methodological Reflections from a Pilot Study," IEEE ETHICS 2025.
• J. Weichert, D. Kim, Q. Zhu, and H. Eldardiry (2025). "‘Do I Have to Take This Class?’: A Review of Ethics Requirements in Computer Science Curricula," ACM Technical Symposium on Computer Science Education (SIGCSE) 2025.
• J. Weichert, Q. Zhu, D. Kim, and H. Eldardiry (2025). "Perceptions of AI Ethics Policies Among Scientists and Engineers in Policy-Related Roles: An Exploratory Investigation," Digital Society.
• J. Kim, M. Klopfer, J.R. Grohs, H. Eldardiry, J. Weichert, L.A. Cox II, D. Pike (2025). "Examining Faculty and Student Perceptions of Generative AI in University Courses," Innovative Higher Education.

2024

• J. Weichert and C. Dimobi (2024). "DUPE: Detection Undermining via Prompt Engineering for Deepfake Text," Arxiv.
• J. Weichert and H. Eldardiry (2024). "Computer Science Student Attitudes Towards AI Ethics and Policy: A Preliminary Investigation," IEEE International Symposium on Technology and Society (ISTAS) 2024.

🌮 James' Food Corner 🍜 (more →)