ESF:BKM_EODA Ethics and data protection - Course Information

BKM_EODA Ethics and data protection in business environment

Extent and Intensity

0/0/0. 6 credit(s). Type of Completion: z (credit).

Teacher(s)

RNDr. Michal Černý, Ph.D. (lecturer)

Guaranteed by

RNDr. Michal Černý, Ph.D.
Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Supplier department: Department of Information and Library Studies – Faculty of Arts

Timetable

Sat 25. 2. 12:00–15:50 P103, Sat 18. 3. 16:00–19:50 P103, Sat 6. 5. 16:00–19:50 P103

Prerequisites

FORMA ( K )
Interest in the topic, willingness to discuss and think about modern topics of work with data in the context of ethics.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.

fields of study / plans the course is directly associated with

• Business Analytics (programme ESF, B-BA)
• Business Management (programme ESF, B-PM)

Course objectives

Learning outcomes of the course unit The aim of the subject is to know students with the ethical dimension of work with data from their origin, through utilization, to archiving and eventual shredding. Encourage students with basic ethical approaches that can critically reflect and see this process in their practice. The reasons will be for solving specific topics and problems, which will show broader patterns and structural issues of working with data. Students will be acquainted with primary literature, who can process data in computerized societies and learn to work with it.

Learning outcomes

Upon completion of this course, students will be able to:

Handle data ethically in your practice

Critically think about the basic problems related to modern data-processing technologies

Critically discuss and defend your position

Offer custom ethical solutions to selected issues

To propose ethically correct data processing mechanisms

At the level of theoretical ethical perspective, implement them

Support the development of ethical processes in working with (and using) data in their own practice

Syllabus

• Ethics as the science of   correct behavior - from Kantian What to   How?
• Data and information as economic and social goods
• Data Ethics - Different ethical ways imply different solutions
• Ethics of work with information and ethical paradoxes (conflicts of principles and interests), the relationship between law and ethics
• Ethical issues and data acquisition issues
• Ethical issues and data collection issues
• Is life quantifiable?
• Privacy
• Ethical issues and questions in data processing and use
• Ethical issues related to AI and data learning capabilities (Amazon, Google,…)
• Ethical issues of autonomous systems and automatic decision making
• Evidence-based “anything” - when and how to follow the data?
• Ethical issues and archiving issues
• GDPR, its bases and impacts on practice
• Data Trading
• Codes of Ethics and Standards
• Social Aspects of Ethical Data Handling
• Current trends problems, questions, trends

Literature

required literature
• ANZENBACHER, Arno. Úvod do etiky. Karmelitánske nakladatelství, 2001.
• ČERNÝ, Michal. Fenomenologicko-pragmatistická interpretace hyperkonektivistického světa: k problémům filosofie informace. 1. vyd. Brno: Masarykova univerzita, 2020. 154 s. ISBN 978-80-210-9454-3.
• FLORIDI, Luciano. Čtvrtá revoluce. Charles University in Prague, 2019.

recommended literature
• FLORIDI, Luciano. The ethics of information. Oxford University Press, 2013.
• ALVAROVÁ, Alexandra. Průmysl lži : propaganda, konspirace a dezinformační válka. 1. vydání. Praha: Stanislav Juhaňák - Triton, 2017. 247 stran. ISBN 9788075534927.
• FLORIDI, Luciano (ed.). The Cambridge handbook of information and computer ethics. Cambridge University Press, 2010.

not specified
• HIMMA, Kenneth Einar; TAVANI, Herman T. (ed.). The handbook of information and computer ethics. Hoboken, NJ: Wiley, 2008.

Teaching methods

The course is designed as a three-block with a significant share of the home study. During the course, students take part in discussion seminars reflecting specific problems or topics for which they are preparing in lessons (they submit their preparations in advance). At the end of each meeting, they will draw up a resume to evaluate each other. Emphasis on the course is given to independent creative work, which is based on excellent knowledge of literature. An integral part of the course is an interactive syllabus in IS, which guides students through selected topics, includes small tasks, suggestions and resource materials for study.

Assessment methods

The course is completed by credit. Prerequisites for credit - a score of more than 15 points on the test (max. 25 points) and 15 points on the essay (max. 25 points). Active participation in the tutorial is scored 5 points per session. Oral discussion of the essay and lecture content is also worth 25 points. Students must earn a total of at least 55 points to receive credit. If a student does not attend any of the blocks, the student will submit a critical review of selected literature from the block to the next meeting. Translated with www.DeepL.com/Translator (free version)

The exam itself has two parts - a knowledge test (25 points) and a seminar paper on a chosen topic (25 points). To obtain the grade E, it is necessary to obtain at least 60 b and at least 10 points from each part. Other ratings: A: 91; B: 84; C: 75; D: 67; E: 60; 59 and less F.

If a student does not participate in any of the blocks, he/she does not prepare a summary but submits a critical review of selected literature from the scope of the given block.

Language of instruction

Czech

Further comments (probably available only in Czech)

Study Materials
The course is taught annually.
Information on the extent and intensity of the course: tutorial 12 hodin.

• Enrolment Statistics (Spring 2023, recent)
  
• Permalink: https://is.muni.cz/course/econ/spring2023/BKM_EODA