Ethical Issues in AI, 6 credits

Etiska frågor inom AI, 6 hp

TGTU99

Main field of study

Information Technology Computer Science and Engineering Computer Science

Course level

Second cycle

Course type

Programme course

Director of studies or equivalent

Darcy Parks

Education components

Preliminary scheduled hours: 0 h
Recommended self-study hours: 160 h
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CDDD Computer Science and Engineering, Master of Science in Engineering 7 (Autumn 2024) 1, 2 1, 2 Swedish/English Linköping, Valla E
6CDDD Computer Science and Engineering, Master of Science in Engineering (AI and Machine Learning) 7 (Autumn 2024) 1, 2 1, 2 Swedish/English Linköping, Valla C
6CMJU Computer Science and Software Engineering, Master of Science in Engineering 7 (Autumn 2024) 1, 2 1, 2 Swedish/English Linköping, Valla E
6CMJU Computer Science and Software Engineering, Master of Science in Engineering (AI and Machine Learning) 7 (Autumn 2024) 1, 2 1, 2 Swedish/English Linköping, Valla C
6CITE Information Technology, Master of Science in Engineering 7 (Autumn 2024) 1, 2 1, 2 Swedish/English Linköping, Valla E
6CITE Information Technology, Master of Science in Engineering (AI and Machine Learning) 7 (Autumn 2024) 1, 2 1, 2 Swedish/English Linköping, Valla C

Main field of study

Information Technology, Computer Science and Engineering, Computer Science

Course level

Second cycle

Advancement level

A1X

Course offered for

  • Master of Science in Computer Science and Engineering
  • Master of Science in Information Technology
  • Master of Science in Computer Science and Software Engineering

Prerequisites

BSc level within Computer Science, Computer Science and Engineering or Information Technology and Engineering. Completed course corresponding to 6 credits in AI, alternatively studied in parallel with course corresponding to 6 credits in AI.

Intended learning outcomes

After completing the course, the student will be able to:

  • describe concepts, theories and problems in the field of applied ethics and the ethics of artificial intelligence (AI)
  • develop a theoretically based reasoning in problem areas related to AI
  • formulate theory-based recommendations and assessments of a moral question related to AI in a professional environment

Course content

The course deals with ethical issues raised by the development of increasingly sophisticated autonomous systems, including which demands can be placed on this technology and why, the different kinds of agents that artificial systems become, whether these systems can be characterized as moral agents and whether they can be held responsible for their actions, and how the overall responsibility for artificial intelligence (AI) should be handled and why. The course places focus on four main topics of moral relevance for autonomous systems and AI: responsibility for decisions made by artificial agents, bias/discrimination as result of using AI, the importance of participation in the development of AI-systems, and how we can ensure that AI implements human values and not other interests. The course takes up theoretical tools for reflecting on ethical implications of developments within AI, which demands can be placed on this type of technology, and how it can be handled by society.

Examination

SEM1Active participation on seminars3 creditsU, G
UPG1Individual written assignment3 creditsU, 3, 4, 5

Grades

Four-grade scale, LiU, U, 3, 4, 5

Other information

About teaching and examination language

The teaching language is presented in the Overview tab for each course. The examination language relates to the teaching language as follows: 

  • If teaching language is “Swedish”, the course as a whole could be given in Swedish, or partly in English. Examination language is Swedish, but parts of the examination can be in English.
  • If teaching language is “English”, the course as a whole is taught in English. Examination language is English.
  • If teaching language is “Swedish/English”, the course as a whole will be taught in English if students without prior knowledge of the Swedish language participate. Examination language is Swedish or English depending on teaching language.

Other

The course is conducted in such a way that there are equal opportunities with regard to sex, transgender identity or expression, ethnicity, religion or other belief, disability, sexual orientation and age.

The planning and implementation of a course should correspond to the course syllabus. The course evaluation should therefore be conducted with the course syllabus as a starting point. 

The course is campus-based at the location specified for the course, unless otherwise stated under “Teaching and working methods”. Please note, in a campus-based course occasional remote sessions could be included.  

Department

Institutionen för kultur och samhälle
Code Name Scope Grading scale
SEM1 Active participation on seminars 3 credits U, G
UPG1 Individual written assignment 3 credits U, 3, 4, 5
There is no course literature available for this course in studieinfo.

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize
I U A Modules Comment
1. DISCIPLINARY KNOWLEDGE AND REASONING
1.1 Knowledge of underlying mathematics and science (G1X level)

                            
1.2 Fundamental engineering knowledge (G1X level)
X
X

                            
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)

                            
1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)
X
SEM1
UPG1

                            
1.5 Insight into current research and development work

                            
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
2.1 Analytical reasoning and problem solving
X
X
SEM1
UPG1

                            
2.2 Experimentation, investigation, and knowledge discovery

                            
2.3 System thinking

                            
2.4 Attitudes, thought, and learning

                            
2.5 Ethics, equity, and other responsibilities
X
X
SEM1
UPG1

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork
X

                            
3.2 Communications
X

                            
3.3 Communication in foreign languages
X

                            
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
4.1 External, societal, and environmental context
X

                            
4.2 Enterprise and business context

                            
4.3 Conceiving, system engineering and management

                            
4.4 Designing

                            
4.5 Implementing

                            
4.6 Operating

                            
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development

                            
5.2 Economic conditions for knowledge development

                            
5.3 Identification of needs, structuring and planning of research or development projects

                            
5.4 Execution of research or development projects

                            
5.5 Presentation and evaluation of research or development projects

                            

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There are no files available for this course.