Ethics of AI (2 cr)
Code: HB00CJ53-3001
General information
Enrollment
01.08.2024 - 01.05.2025
Timing
26.08.2024 - 19.05.2025
Number of ECTS credits allocated
2 op
Virtual portion
2 op
Mode of delivery
Online learning
Unit
School of Business
Teaching languages
- English
Degree programmes
- Bachelor's Degree Programme in International Business
Teachers
- Juha Saukkonen
- Jay Panjwani
Teacher in charge
Juha Saukkonen
Groups
-
HBI23S1Bachelor's Degree Programme in International Business
-
HBI22S1Degree Programme in International Business
-
HBI24S1Bachelor's Degree Programme in International Business
Objective
The course studies the ethical aspects of AI: What AI ethics means, what elements and viewpoints should be included in the development of ethically sound AI. The course also sparks the you to formulate own ideas and opinions and argument about AI from an ethical point of view.
MOOC-platform for the course at:
https://buildingai.elementsofai.com/
Competencies:
To achieve this competence, you will:
you will understand the basic of AI and ethical perspective in implementing AI
Learning to learn: You develop critical and analytical mindset that helps you to study and review existing knowledge in the light of relevant learning resources and learning methods; incentivizes you to acquire new knowledge; and develops your intellectual capabilities to seek conclusions and draw inferences in various contexts.
Content
What dilemmas and viewpoints does the ethical angle bring into AI development and usage.
The course includes topical sub-sections, each containing
- exercises
- own elaboration on AI use case examples (to be peer reviewed by other course members)
- peer reviews (reviewing and assessing other students´ work)
Oppimateriaali ja suositeltava kirjallisuus
Learning material at course MOOC platform at:
https://ethics-of-ai.mooc.fi/
Teaching methods
individual online learning
Exam schedules
no exam. passing the course requires proof of learning (cerfificate) obtained from the MOOC-platform
Vaihtoehtoiset suoritustavat
You have the right to apply for recognition of your studies if you have prior learning (e.g. university studies completed elsewhere) that can be accredited towards the degree you are currently completing.
The recognition of prior learning is possible in three primary ways: accreditation (replacement or inclusion), recognition of informal learning and studification. More precise info: JAMK Degree Regulations, section 17.
Student workload
Online learning (reading, exercises, peer feedback) 54 hours
Content scheduling
self-paced online study, no set deadlines for proceeding
Further information
Passing the course requires the certificate obtained from the MOOC-platform
Evaluation scale
Pass/Fail
Assessment criteria, approved/failed
Passing based on the Certificate created by the course online platform - getting the certificate demands:
- 90 % of exercises done
- 50 % of exercises answered correctly
Complete the course at your own pace. Submit the certificate to the Moodle workspace IB general (enrolment key: ibgeneral). It will be added to your transcript.
Qualifications
Elements of AI - and Building AI -MOOC-courses recommended but not obligatory
Further information
The course is a 1/3 of AI-MOOC studies. The other elements are:
- Elements of AI
- Building AI