This course offers a comprehensive journey through artificial intelligence from its philosophical origins to its transformative impact on society. Across 14 sessions, we trace the arc of AI's development: how machines learned to reason with logic, see patterns in data, understand language, perceive the world, and act within it. We then turn to the consequences: bias, labor disruption, regulation, scientific acceleration, safety, and the evolving relationship between humans and intelligent machines.
No programming or mathematical background is required. The course is designed for graduate students from diverse disciplines who want to develop a deep, scientifically grounded understanding of AI, its capabilities, its limitations, and the choices it forces upon us.
Structure:
- Act I — Foundations (Classes 1–4): From symbolic logic to deep learning and the Transformer revolution
- Act II — Modalities (Classes 5–8): Language, reasoning, vision, agents, and the hardware that powers it all
- Act III — Impact (Classes 9–14): Bias, jobs, regulation, scientific discovery, safety, and our co-evolution with AI
Each 90-minute session combines lecture, discussion, and hands-on exploration of real AI systems.
- Teacher: Artur Siurdyban