Human-Technology Interaction - Mastertrack Human-Centered AI

How can our interactions with AI-driven systems and products be understood and optimally designed? The Human-Technology Interaction - Mastertrack Human-Centered AI program fromEindhoven University of Technology (TU/e)aims to shed light on this based on insights from cognitive psychology, user experience (UX) design, human-AI interaction and the philosophy and ethics of AI.

On the Human-Technology Interaction - Mastertrack Human-Centered AI program from Eindhoven University of Technology (TU/e) by combining a human-centered perspective and specific technical knowledge (such as machine learning and explainable AI), you will have opportunities to design and evaluate the ways in which people interact with algorithms and automation in various contexts of current and emerging AI applications, including recommender systems, social robotics and creative AI.

Key facts

• As a Human-Technology Interaction master’s student, you will acquire the knowledge and skills to assess new AI developments in view of human values, goals, constraints and capabilities.

• In the Human-Centered AI track, you will be able to learn and integrate such insights with a certain level of technical knowledge about AI methods in order to become a competent engineer of human-AI interaction who considers human values at the core of their work.

Careers and opportunities

• Graduates from this track will therefore be able to work as UX researchers and/or designers of AI-driven products, consultants on the implementation of AI technologies in various domains (such as health, education, human resources, consumer products and mobility) and, if they choose to develop strong technical skills, (behavioral) data scientists/analysts.

• There are also ample opportunities for research positions at universities, such as PhD projects in the field of human-centered AI.

Courses include:

• Advanced Cognition

• Philosophy and Ethics of AI

• Human-AI Interaction

• Super Crunchers,

• A challenge-based project in which you design and evaluate an AI-driven system in an application domain of your choice.