Website
Module Manual

Modul CS5076-KP12

Human-Centered Trustworthy AI (HumTrustAI)

Duration:


1 Semester
Turnus of offer:


every summer semester
Credit points:


12
Course of studies, specific field and terms:
  • Master Artificial Intelligence 2023 (compulsory), Artificial Intelligence, 3rd and 4th semester
Classes and lectures:
  • Human Centered AI (exercise, 1 SWS)
  • Security und Privacy (exercise, 1 SWS)
  • Security and Privacy (lecture, 2 SWS)
  • Human Centered AI (lecture, 2 SWS)
  • Philosophy and Ethics (exercise, 1 SWS)
  • Philosophy and Ethics (lecture, 1 SWS)
Workload:
  • 90 Hours e-learning
  • 90 Hours work on project
  • 180 Hours private studies
Contents of teaching:
  • Philosophical and Ethical Concepts of Trust, Autonomy, Privacy, Fairness & Justice, Explicability, and Alignment
  • Human- Centered AI: Cognitive Modeling / Behavior Modeling / User and Group Modeling / Personalization / Cognitive Architectures / Human-aware Planning / Provably Beneficial AI / Ethics for AI Systems
  • Robust and secure machine learning: De-anonymization methods using machine learning models / Privacy-preserving machine learning methods / Verification of machine learned models (statistical Testing, model checking) / Black-Box methods for extracting machine learning models / Attacks for manipulating machine learning models (adversarial examples, backdoors) Hardening of machine learning methods against manipulation methods / Robust machine learning methods against manipulation attacks / Federated Learning
Qualification-goals/Competencies:
  • For all topics listed in the course content under the bullet points, students will be able to name the central ideas, define the relevant terms in each case, and explain how associated algorithms work using examples of applications.
Grading through:
  • portfolio exam
Responsible for this module:
Teachers:
Literature:
  • S. Farrel, S. Lewandowsky: Computational Modeling of Cognition and Behavior - Cambridge University Press, 2018
  • G. Marcus, E. Davis: Rebooting AI: Building Artificial Intelligence We Can Trust - Pantheon Books, 2019
  • S.J. Russell: Human Compatible: Artificial Intelligence and the Problem of Control - Penguin Books, 2020
  • M.H. ur Rehman, M.M. Gaber: Federated Learning Systems: Towards Next-Generation AI - Springer, 2021
  • C.S. Nam, J.-Y. Jung, S. Lee (Eds.): Human-Centered Artificial Intelligence: Research and Applications - Elsevier, 2022
  • B. Ammanath: Trustworthy AI: A Business Guide for Navigating Trust and Ethics in AI - Wiley, 2022
Language:
  • offered only in English
Notes:

Prerequisites for attending the module:
- None

Prerequisites for the exam:
- Security & Privacy: Successful completion of the exercise sheets as specified at the beginning of the semester

Module exam(s):
CS5076-L1: Human-Centered Trustworthy AI portfolio exam for a total of 100 points, divided as follows:
- 20 points for an essay in Philosophy and Ethics
- 40 points for a project in Human Centered AI
- 40 points for an exam (oral or written) in Security and Privacy

Letzte Änderung:
7.4.2025