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Ethics of AI (2 cr)

Code: HB00BO84-3004

General information


Enrollment

01.08.2022 - 25.08.2023

Timing

29.08.2022 - 25.08.2023

Number of ECTS credits allocated

2 op

Virtual portion

2 op

Mode of delivery

Online learning

Unit

School of Business

Teaching languages

  • English

Seats

0 - 60

Teachers

  • Juha Saukkonen
  • Jay Panjwani

Groups

  • HBI21S1
    Degree Programme in International Business
  • HBI20S1
    Bachelor's Degree Programme in International Business
  • HBI22S1
    Degree Programme in International Business

Objectives

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 student 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/

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)

Time and location

continously open MOOC course available at: https://ethics-of-ai.mooc.fi/

Learning materials and recommended literature

material and recommended readings given at: https://ethics-of-ai.mooc.fi/

Teaching methods

online self-paced study

Exam dates and retake possibilities

no exam. Passing the course based on multiplication: Percentage of exercises done X percentage of correctness of exercised. Minimum 45 %/100 to pass.
Course results from MOOC interface need to be shared with the responsible teacher. 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.

Student workload

workload some 50 hours as a se-f-paced online study

Further information for students

The assessment of the grades will be carried out during spring and fall semester end i.e., May and December. In case of further queries please do contact Mr Juha Saukkonen or Jay Panjwani.

Evaluation scale

Pass/Fail

Evaluation criteria, pass/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.

Prerequisites

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