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Finding, Understanding, Trusting: Human-AI Interaction in Modern Information Retrieval (Seminar)

Course Information (Summer Semester 2026)

This website provides an overview of the seminar. For official course details, enrollment information, and materials, please refer to the university course catalogue.

Instructor: Dr. Anett Hoppe

Introduction session: April 16, 4 p.m.; Location tba

Working phase: Independent research with one optional individual consultation (20 minutes)

Block seminar: 2-3 days in June/July 2026 (presence mandatory)

Assessment:

• Seminar presentation (20-30 min)
• Synthesis paper (5-6 pages)
• AI usage documentation
• Active participation

Target Audience

Bachelor/Master students in Computer Science, Data Science, and Computer Science Education (maximum 14 participants)

Prerequisites

Recommended: Conceptual knowledge of machine learning and information retrieval. Openness to interdisciplinary reflection on ethical, and social implications of AI systems.

Course Overview

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Topics Covered

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