Syllabus
Basic syllabus:
Python basics - reading code in Python and modifying it - crash course
Revision of machine learning foundations
Summary of "classical" symbolic AI
The main difference between classical AI and machine learning
The limits of interpretability of machine learning
Methods how to interpret machine learning and combine it with classical AI
Annotation
While modern AI approaches often are black box solutions, the traditional, historical, approach in AI was based on symbol manipulation. While the contemporary approach achieves many unbelievable feats, it lacks in interpretability.
The course aims to investigate the limits of interpretability of black-box solutions and explore techniques that allow human interpretation (e.g., if a need for auditing or verification arises).