Human-Centred Artificial Intelligence
(in German: Human-Centred Artificial Intelligence - HCAI)
Module-ID: FIN-INF-120488 |
| Link: | LSF |
| Responsibility: | Prof. Dr.-Ing. De Luca |
| Lecturer: | Prof. Dr.-Ing. De Luca |
| Classes: |
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| Applicability in curriculum: |
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Abbreviation HCAI |
Credit Points 6 |
Semester Summer |
Term ab 1. |
Duration 1 Semester |
Language english |
Level Master |
Intended learning outcomes:
The students ...
- know basic principles of Human-Centred AI
- can apply responsible AI principles
- understand fairness and explainability
- can evaluate ethical issues in AI
- can apply HCAI methods on deep learning architecture and natural language processing algorithms
- can implement User Experience and Usability principles
- can manage and plan HCAI projects
Content:
- Introduction to Human-Centred Artificial Intelligence: Human values in AI; The role of stakeholders; Novel HCAI Framework and Paradigms; Threats in AI; Interactive HumanCentred AI.
- Introduction to Responsible Artificial Intelligence: Ethical theories and ethics in practice; Responsible research and innovation; The ART of AI: Accountability, Responsibility, Transparency; Ensuring Responsible AI in practice
- AI and Society. Beyond-accuracy perspectives: Privacy;Fairness and Biases; Explainable Artificial Intelligence (XAI); Accountability; Security and Safety
- Approaches to project management and planning: Project management; People management and Teamwork; Agile development; Risk management; Estimation techniques and project pricing; Quality standards and management
Workload:
56 contact hours + 124 hours self study
| Type of examination: | Teaching method / lecture hours per week (SWS): |
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Written exam |
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| Prerequisites according to examination regulations: | Recommended prerequisites: |
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none |
| Media: | Literature: |
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