UndergradSkiller: Skill Set Map for Undergraduates and Their Educators

INFORMATION LITERACY AND DIGITAL SAFETY: Artificial Intelligence

AI Ethics

AI systems can perpetuate bias, raise questions about privacy and transparency, and challenge established norms in education and research. Understanding the ethical dimensions of AI helps students become thoughtful users rather than passive consumers of these technologies.

Useful Resources on AI Ethics:

Trout, B., & Minkov, S. (2023). Ethics of AI bias. MIT OpenCourseWare. https://ocw.mit.edu/courses/res-10-002-ethics-of-ai-bias-spring-2023/

Annotation: Video resource exploring the human problems raised by bias in artificial intelligence. Available as a full-length video or in a chapter-based version with an accompanying study guide.

Mills, K. (2023). Ethics of technology. MIT OpenCourseWare. https://ocw.mit.edu/courses/24-131-ethics-of-technology-spring-2023/

Annotation: Undergraduate course introducing philosophical ethics through application to contemporary technology issues, including privacy and surveillance, algorithmic bias, AI, automation and the future of work, and threats to democracy in the digital age. Includes syllabus, readings, and writing assignments.

Holmes, W., & Miao, F. (2023). Guidance for generative AI in education and research. UNESCO. https://doi.org/10.54675/EWZM9535

Annotation: UNESCO publication providing guidance on the use of generative AI in education and research contexts.

Peer Review: None

Table of contents:

 

Author: Leeanne Irwin

Peer Reviewer(s): None

 

Editor: Kristýna Čepelková Last modified: 30.9. 2026 11:09