INFO381-2017 was organised in eight, six hour long sessions. This is the standard organisation form for the Masters in Information Science courses. Each session was structured as a sequence of lectures, discussions and group work. The learning outcomes of the course and syllabus were adjusted in this regard to reflect the students' now existing knowledge in AI:
Knowledge.

• Identify and describe the basic principles of moral philosophy, interpret, explain and extend the need for, and challenges of, automating moral reasoning.
• Experience the entire process of research in machine ethics from the inception of an idea, analysis of research work, refining a research question, planing and executing group work and reporting on the work in the form of a scientific report.

Skills.

• Appraise the ethical aspects of AI problems.
• Discern different moral theories and values when considering ethical impact of AI applications.

General competence.

• Reading and explaining scientific articles.
• Research project management.
• Scientific reporting.

1. Introduction to machine ethics
Material: Chapters 1, 26, 27 from Vaughn (2014); Moor(2006); Wallach u. a. (2008), Bonnefon u. a.(2016); Winfield u. a. (2014); Chapters 1 and 2 from Russell und Norvig (2015).

2. Introduction to moral philosophy
Material: Chapters 4,6,7 and 12 from Vaughn (2014).

3. Bottom-up approach with an introduction to machine learning
Material: Anderson and Anderson (2008), Chapters 18, 19, 20, 21 from Russell und Norvig (2015)

4. Top-down approach with an introduction to agent verification
Material: Dennis u. a. (2016), Chapter 7 from Russell undNorvig (2015)

5. Computers do what you ask them to, not what you want them to. Limitations of top-down and bottom-up approaches
Material: Lecture notes

6. Context and impact of machine ethics - cultural implication, military vs civilian applications, algorithms vs. embodied intelligent systems
Material: Bolukbasi u. a. (2016), Sharkey and Sharkey (2012), Arkin (2008)

7. Deliberately making unethical machines
Material: Pistono und Yampolskiy (2016)

8. Research methodology
Material: Lecture notes

• [Anderson und Anderson 2008] ANDERSON, Michael; ANDERSON, Susan L.: ETHEL: Toward a Principled Ethical Eldercare System. In: AI in Eldercare: New Solutions to Old Problems, Papersfrom the 2008 AAAI Fall Symposium, Arlington, Virginia, USA, November 7-9, 2008Bd. FS-08-02,AAAI, 2008, S. 4–11.
• [Arkin 2008] ARKIN, Ronald C.: Governing Lethal Behavior: Embedding Ethics in a Hybrid Delib-erative/Reactive Robot Architecture. In:Proceedings of the 3rd ACM/IEEE International Conferenceon Human Robot Interaction. New York, NY, USA : Association for Computing Machinery, 2008(HRI ’08), S. 121–128.
• [Bolukbasi u. a. 2016] BOLUKBASI, Tolga; CHANG, Kai-Wei; ZOU, James; SALIGRAMA,Venkatesh; KALAI, Adam: Man is to Computer Programmer as Woman is to Homemaker? Debias-ing Word Embeddings. In: Proceedings of the 30th International Conference on Neural InformationProcessing Systems. Red Hook, NY, USA : Curran Associates Inc., 2016 (NIPS’16), S. 4356–4364.
• [Bonnefon u. a. 2016] BONNEFON, Jean-Franc ̧ois; SHARIFF, Azim; RAHWAN, Iyad: The social dilemma of autonomous vehicles. In:Science352 (2016), Nr. 6293, S. 1573–1576.
• Dennis u. a. 2016] DENNIS, Louise; FISHER, Michael; SLAVKOVIK, Marija; WEBSTER, Matt: Formal verification of ethical choices in autonomous systems. In: Robotics and Autonomous Systems77 (2016), S. 1 – 14.
• [Moor 2006] MOOR, James H.: The Nature, Importance, and Difficulty of Machine Ethics. In: IEEEIntelligent Systems21 (2006), Juli, Nr. 4, S. 18–21.
• [Pistono und Yampolskiy 2016] PISTONO, Federico; YAMPOLSKIY, Roman V.: Unethical Research:How to Create a Malevolent Artificial Intelligence. In: CoRRabs/1605.02817 (2016).
• [Russell und Norvig 2015] RUSSELL, Steward; NORVIG, Peter: Artificial Intelligence: A Modern Approach. 3rd Edition. Pearson Education, 2015. – ISBN 0137903952
• [Sharkey and Sharkey 2012] SHARKEY, Amanda; SHARKEY, Noel: Granny and the robots: ethical issues in robot care for the elderly. In: Ethics and Information Technology 14 (2012), Nr. 1, S. 27–40.
• [Vaughn 2014] VAUGHN, Lewis: Beginning Ethics: An Introduction to Moral Philosophy. W. W.Norton & Company, 2014
• [Wallach u. a. 2008] WALLACH, Wendell; ALLEN, Colin; SMIT, Iva: Machine morality: bottom-upand top-down approaches for modelling human moral faculties. In:AI & SOCIETY22 (2008), Nr. 4,S. 565–582.
• [Winfield u. a. 2014] WINFIELD, Alan F. T.; BLUM, Christian; LIU, Wenguo: Towards an Ethical Robot: Internal Models, Consequences and Ethical Action Selection. In: MISTRY, Michael (Hrsg.);LEONARDIS, Ales (Hrsg.); WITKOWSKI, Mark (Hrsg.); MELHUISH, Chris (Hrsg.): Advances inAutonomous Robotics Systems. Cham: Springer International Publishing, 2014, S. 85–96.