711-0116/02 – Ethical questions of artificial intelligence (EOUI)

Gurantor departmentDepartment of Social SciencesCredits2
Subject guarantorprof. Dr. Mgr. Tomáš HauerSubject version guarantorprof. Dr. Mgr. Tomáš Hauer
Study levelundergraduate or graduateRequirementChoice-compulsory type B
Year1Semesterwinter
Study languageCzech
Year of introduction2018/2019Year of cancellation
Intended for the facultiesFS, FMTIntended for study typesFollow-up Master, Bachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
HAU40 prof. Dr. Mgr. Tomáš Hauer
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit 0+2
Combined Credit 9+0

Subject aims expressed by acquired skills and competences

Students completing the course will be able to: - Effectively use basic methodological approaches in ethics; - To understand the basic ethical concepts; - Ethically justify ours decisions in cases in which engineers and technicians are insufficient everyday moral intuitions. - Assess the legitimacy of ethical arguments in solving conflict situations; - Identify your own strengths and weaknesses in the present solutions ethical dilemma.

Teaching methods

Seminars
Tutorials
Project work

Summary

Over the course of about fifty years of artificial intelligence, new technologies have emerged that are enriching this field. It is a dynamic and rapidly evolving area. Even though we cannot precisely determine the very definition of intelligence. Nowadays, it is a broad field that applies knowledge from many areas such as psychology, neuroscience, logic, economics, philosophy, mathematics, management theory, etc. Artificial Intelligence is currently dealt with by a large number of scientists as well as philosophers who raise many questions. One of the most important one is the question whether machines can think and the question whether AI can have its own ethics. The course analyses the moral dilemmas associated with the dynamic development in the AI area and possible scenarios of future developments in this area.

Compulsory literature:

Wendell Wallach. Moral Machines: Teaching Robots Right from Wrong, Oxford University Press; 1 edition (June 3, 2010), ISBN-10: 0199737975 Paula Boddington: Towards a Code of Ethics for Artificial Intelligence (Artificial Intelligence: Foundations, Theory, and Algorithms), Springer; 1st ed. 2017, ISBN-13: 978-331960647 Mel Thompson, Ethical Theory, Hodder Education an Hachette UK company 2008, ISBN: 978- 0340- 95779- 0

Recommended literature:

WHITBECK, C. ETHICS IN ENGINEERING PRACTICE AND RESEARCH (Second Edition), Cambridge University Press 2011, New York, USA, Second edition published 2011, ISBN 978-0-521-89797-6. FLEDDERMANN, CH, B. Engineering Ethics, Pearson Education Limited 2014, Edinburgh, ISBN 10:1-292-01252-8.

Way of continuous check of knowledge in the course of semester

E-learning

Další požadavky na studenta

writing essays on a given topic

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. The emergence of ethics as a science discipline, basic ethical issues and concepts. 2. Basic methodological approaches in ethics (descriptive ethics, normative ethics, meta-ethics, applied ethics). 3. Basic functions of morality, moral reasoning, historical overview of ethical theory. 4. Deontological ethics, utilitarianism and ethics of virtues. 5. Thought experiments in ethics. 6. Artificial Intelligence, its Characteristics and History 7. Development of paradigms of artificial intelligence 8. New Approaches to Artificial Intelligence 9. Current trends in AI research (superintelligence, singularity, transhumanism, etc.) 10. The Second Age of Machines, Artificial Intelligence and Ethical Dilemmas 11. Moral implications of superintelligence and artificial mind 12. Future of AI and possible scenarios

Conditions for subject completion

Full-time form (validity from: 2018/2019 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Credit Credit 85  85
Mandatory attendence parzicipation: xxx xxx

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Occurrence in study plans

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Occurrence in special blocks

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