After attending the course "Digital Ethics and Sustainability II", students are familiar with a number of core values that are of ethical and often legal relevance for the design of IT systems (and especially those with artificial intelligence). The course will be structured as follows:

Session 1 - 07.05.2024 Introduction

- Organization and grading of the course, forming groups

- Artificial Intelligence - an Introduction to Machine Learning

- Hand-out of the first articles for next week's group presentations
 

Session 2 - 14.05.2024

- Minitest

- Focus topic: Core value "Truth" -  Digital disinformation campaigns, and the role of generative AI

- 2 student presentations on ethically relevant implications of generative AI (~15 min. presentation + 10 minutes Q&A session)

- Hand-out of the 2 articles for next week's group presentations

Session 3 - 23.05.2024

- Minitest

- Focus topic: Core value "Transparency" - Explainable AI

- 2 student presentations on AI explainability (~15 min. presentation + 10 minutes Q&A session)

- Hand-out of the 2 articles for next week's group presentations

Session 4 - 28.05.2024

- Minitest

- Focus topic: Core value "Fairness" - Fairness in algorithmic decision systems, algorithmic bias

- 2 student presentations on algorithmic bias and Fairness in ADS  (~15 min. presentation + 10 minutes Q&A session)

- Hand-out of the 2 articles for next week's group presentations

Session 5 - 04.06.2024

- Minitest

- Focus topic: Core value "Sustainability" - AI and its impacts on ecological, economical and social sustainability dimensions

- 2 student presentations on AI sustainability (~15 min. presentation + 10 minutes Q&A session)

- Hand-out of the 2 articles for next week's group presentations

Session 6 - 11.06.2024

- Minitest

- Focus topic: Core value "Sovereignty" - Relevant concepts and dimensions of digital sovereignty

- 2 student presentations on digital sovereignty (~15 min. presentation + 10 minutes Q&A session)

- Hand-out of the 2 articles for next week's group presentations

Session 7 - 18.06.2024

- Minitest

- Focus topic: Core value "Well-being" - Social media and its impacts on human well-being. Role of ADS in these dynamics.

- 2 student presentations on Digital well-being (~15 min. presentation + 10 minutes Q&A session)

- For next week's final presentation: Select a topic concerning ethically relevant iplications of AI that you want to highlight and investigate further.
  This can be a further deep dive into the course topics or something new, such as an interesting application domain (care, education, defense) or a specific type of AI system, or a specific core value, the implications on which
  you want to investigate.

Session 8 - 25.06.2024

- exam

80% presence is required to pass the course

Sessions 2-8 start with a minitest containing 10 mutliple-choice and open questions.
Individual grade, 50%

Session 2-7 will each have two student presentations in groups of two, where one student presents (~15 minutes presentation) and the other one takes questions from the group (~ 10 minutes Q&A session).
Session 8 will have three final student presentations (~15 minutes presentation, both group members present and take questions)
Group grade, 40%

Each student is invited to ask questions on the group presentation. The questions will be part of the individual grade. Here not only the quantity of questions counts but also the quality.
Individual grade, 10%.

In summary, the course will be graded as follows:

50%  - individual minitests
40% - presentations in group work
10% - quality and quantity of questions asked to the presenting group