Siirry suoraan sisältöön

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

  • HBI23S1
    Bachelor's Degree Programme in International Business
  • HBI22S1
    Degree Programme in International Business
  • HBI24S1
    Bachelor'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