Aditya Johri
George Mason University, VA·Education Research
Artificial intelligence (AI) is changing how engineers write, design, code, and secure systems, and it brings new ethical risks. Engineering and computing education must catch up, both in using these tools well and in preparing students to think about their harms.
- Fields
Education Research
Computer Science
Engineering
- Topics
engineering education
computing education
cybersecurity education
- Grants
- 2 known grants, through Jul 2027
What they work on
- Create four role-play case studies on AI-enabled security technologies, such as video surveillance, smart home privacy, and algorithmic hiring, and embed them across undergraduate and graduate cybersecurity courses.
- Assess growth in students' ethical reasoning over several courses using concept maps, diagrams of how students connect ideas, scored against common security standards and rubrics.
- Survey how generative AI tools are being used in computing and STEM education research and teaching, and measure engineering educators' awareness of them, through literature review and online data collection.
- Develop, test, and disseminate scenarios and guidelines for responsible generative AI use in engineering education through co-design workshops and instructors' trial use in their own work.
More about the research
The lab's two projects address this from complementary angles: one trains future cybersecurity professionals to reason ethically about AI systems, and the other studies how engineering educators use generative AI in teaching and research.
Why it matters
Future cybersecurity professionals will secure AI systems used for surveillance, smart homes, and hiring, where harms can reach well beyond technical attacks. A tested, multi-course ethics curriculum could better prepare this workforce. Shared guidelines for responsible generative AI use could help engineering instructors and education researchers adopt these tools productively while avoiding ethical pitfalls.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Zhengping Luo
Rider University, NJ·Education Research
Design flexible teaching modules, including labs, tutorials, assignments and research activities, on AI security and privacy in computer vision, speech and audio, and network systems, for integration into undergraduate computing courses.
Andrew Katz
Virginia Polytechnic Institute and State University, VA·Education Research·Early-career
Extract the skills employers request from more than a decade of engineering job postings, using natural language processing (computer analysis of text) and a skill-extraction algorithm focused on mechanical engineering master's roles.
Bo Luo
University of Kansas, KS·Computer Science
Define the key scientific questions on how generative AI threatens and could strengthen security and privacy, such as privacy harms from training data and synthetic data for attack detection.
The school
George Mason University: 15 labs on PI Pages, $282M a year on research, 297 research doctorates a year.
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