Human-Centred Approaches and Technologies

Course Description

Human-Centred Artificial Intelligence (HCAI) is an emerging discipline intent on creating AI systems that amplify and augment (rather than displace) human abilities. HCAI seeks to preserve human control in a way that ensures artificial intelligence meets our needs while also operating transparently, delivering fair and equitable outcomes, and respecting privacy.

The Seminar Human-Centred Approaches and Technologies (HCAT) and the related projects aim to study and applying novel HCAI principles and methods in real-world scenarios.

Main learning topics:

HCAI principles;
Responsible AI principles;
Explainable AI;
Algorithmic Fairness;
AI Ethics;
Introduction to Research Methods for Human-Centred Computing.

Syllabus

Detailed information about the course, including the class schedule, is available on the syllabus

Recommended Prerequisites

The following prior knowledge is recommended, but not mandatory:

Machine Learning
Information Retrieval
Data Mining
Data Science
Fundamentals of Natural Language Processing
Introduction to Deep Learning

Useful Resorces

Moodle Page , LSF Page, Notion Page (current semester)