Responsible Data Science for Safe and Socially Aligned AI Applications

What it is about

You will learn current data science techniques and innovative research concepts that enable responsible implementation of AI in high-risk scenarios. In the end you will understand, critically discuss, and scientifically present research questions concerning the societal impact of AI.

What you will be able to do

Understand current research in AI and societal impacts
Present scientifically
Communicate and critically discuss research content
Identify new research questions and ideas
Take an interdisciplinary perspective

What the module consists of

SeminarProvides a critical data-science view on the latest advances in AI and their societal implications

Teaching method

Analysis and interpretation of current research articlesTo engage with the state of the research
Presentation and communication of current research resultsTo foster scientific presentation and communication skills
Critical discussionsTo reflect on the societal impact of AI and develop new questions
Development of interdisciplinary research questions through discussionTo stimulate one's own research approaches and perspectives

Dates

Seminar(SOT86052) Responsible Data Science for Safe and Socially Aligned AI Applications für (MSc und PhD)2 groups to choose from

AThu13:15–14:45
H.004, CIP-Raum (2910.EG.004)
14× · 15.10.–04.02.
- 15.10.
- 22.10.
- 29.10.
- 05.11.
- 12.11.
- 19.11.
- 26.11.
- 10.12.
- 17.12.
- 07.01.
- 14.01.
- 21.01.
- 28.01.
- 04.02.
BMon13:15–14:45
H.004, CIP-Raum (2910.EG.004)
15× · 12.10.–01.02.
- 12.10.
- 19.10.
- 26.10.
- 02.11.
- 09.11.
- 16.11.
- 23.11.
- 30.11.
- 07.12.
- 14.12.
- 21.12.
- 11.01.
- 18.01.
- 25.01.
- 01.02.

From the current semester, not binding. You attend one of several groups; the timetable automatically suggests the one with the fewest clashes.

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