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INFORMATION LITERACY AND DIGITAL SAFETY: Artificial Intelligence

Understanding AI

These resources introduce the fundamental concepts of artificial intelligence, from machine learning and neural networks to generative AI and large language models.

Useful Resources on Understanding AI:

Leshchinskiy, B. (2021). AI 101. MIT OpenCourseWare. https://ocw.mit.edu/courses/res-6-013-ai-101-fall-2021/

Annotation: Introductory workshop on artificial intelligence. Includes a video presentation covering key AI concepts, an interactive exercise in which participants train their own algorithm, and supporting materials.

Google Career Certificates. (n.d.). Google AI essentials specialization. Coursera https://www.coursera.org/specializations/ai-essentials-google

Annotation: Self-paced online specialization comprising five short courses: Introduction to AI, Maximize Productivity With AI Tools, Discover the Art of Prompting, Use AI Responsibly, and Stay Ahead of the AI Curve. Covers foundational AI concepts, practical use of generative AI tools, prompt writing, and responsible AI use. Free to audit within a limited window of time.

Gabrielsson, R. (2024). Foundation models and generative AI. MIT OpenCourseWare. https://ocw.mit.edu/courses/6-s087-foundation-models-and-generative-ai-january-iap-2024/

Annotation: Non-technical lecture series covering the history of AI, supervised and reinforcement learning, and the foundations of foundation models and generative AI. Includes applications in both science and business.

Peer Review: None

Table of contents:

 

Author: Leeanne Irwin

Peer Reviewer(s): None

 

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