DS816: Ethics by Design
Study Board of Science
Teaching language: Danish or English depending on the teacher
EKA: N340067102
Assessment: Second examiner: Internal
Grading: 7-point grading scale
Offered in: Odense
Offered in: Autumn
Level: Master
STADS ID (UVA): N340067101
ECTS value: 5
Date of Approval: 05-11-2019
Duration: 1 semester
Version: Archive
Comment
DISCONTINUED - offered last time autumn 2020.
The course is offered for the first time in autumn 2020.
The course is offered for the first time in autumn 2020.
Entry requirements
A Bachelor’s degree or a Bachelor of profession.
The course cannot be taken by students enrolled in the master programme in Computer Science
Academic preconditions
Course introduction
The aim of the course is to enable the student to analyse data ethical issues as well as it-ethical problems in relation to artificial intelligence and apply value sensitive design methods. This is important to pro-actively embed ethical values in the design phase.
The course provides a foundation for applying the knowledge, competences, and skills, which are acquired in the education, particularly addressing issues related to data-ethics, value sensitive design and it-ethical problems in artificial intelligence.
In relation to the competence profile of the degree it is the explicit focus of the course to:
- give the competence to handle work- and development situations such that issues concerning data ethics, it-ethics and artificial intelligence are pro-actively integrated in the design phase.
- give skills to analyse and reflect upon issues related to data ethics, it-ethics and artificial intelligence, as well as apply value sensitive design methods.
- give knowledge of methods to identify and handle problems related to data ethics, it-ethics and artificial intelligence.
- give knowledge about data ethical and it-ethical issues, such as e.g., fairness in algorithms, transparency, profiling, responsibility, and value alignment in AI.
- give knowledge about theories about data ethics, it-ethics and artificial intelligence and value sensitive design methods.
Expected learning outcome
The learning objective of the course is that the student demonstrates the ability to:
- analyse problems related to data ethics and it-ethics and artificial intelligence.
- have knowledge of value sensitive design methods.
Content
The following main topics are contained in the course:
- Philosophy of technology.
- Value sensitive design methods.
- Big data and data ethics.
- Artificial intelligence and ethics.
- Fundamental machine ethics.
Literature
Examination regulations
Exam element a)
Timing
January
Tests
Oral exam
EKA
N340067102
Assessment
Second examiner: Internal
Grading
7-point grading scale
Identification
Student Identification Card
Language
Normally, the same as teaching language
Duration
Preparation 20 minutes
Examination 20 minutes incl. grading.
Examination aids
All allowed.
ECTS value
5
Additional information
The student picks a random exam question in the course syllabus before the preparation time. The exam starts with a 5-minute presentation and hereafter there will be a discussion between the examiners and the student, primarily based on the exam question and the presentation, but the student must also be able to relate to other topics from the course.
The examination form for re-examination may be different from the exam form at the regular exam.
Indicative number of lessons
Teaching Method
The teaching method is based on three phase model.
- Intro phase: 13 hours
- Skills training phase: 13 hours, hereof tutorials: 13 hours and laboratory exercises: 0 hours
Activities during the study phase:
- Case-work.
- Preparation of lectures.
- Preparation of presentations.