Ethics of AI

The Ethics of AI is a free online course created by the University of Helsinki. This course wants to encourage CU students across the faculties and disciplines to learn

  • what AI ethics means,

  • what can and can’t be done to develop AI in an ethically sustainable way,

  • and how to start thinking about AI from an ethical point of view.

More information here:

Who is this course aimed at?

  • CUNI students from all faculties and specializations are welcome, who are interested in ethical aspects of the artificial intelligence.

How is the course organized? 

  • It is available online on the website

  • Students work independently at their own pace.

Aim of the course

In this course, you will:

  • Discover why AI raises concerns about its ethically acceptable use and development

  • Become familiar with the ethical questions and concepts related to contemporary AI.

  • Learn how to combine ethical concepts and theories with AI by doing practical exercises.

What are the topics of the course? 

  • 1. Introduction: what is AI ethics?

  • 2. Non-maleficence: what should we do?

  • 3. Accountability: who should be blamed?

  • 4. Transparency: should we know how AI works?

  • 5. Human rights: should AI respect and promote rights?

  • 6. Fairness: should AI be fair and non-discriminative?

  • 7. AI ethics in practice: how might AI ethics develop?

Course completion requirements

  • The course is evaluated as a credit, meaning that students may fail or pass it (without grades), worth 2 credits 

  • Completion of the course requires:

    • Successful completion of at least 90% completed exercises and minimum 50% correctness.

    • Filling out the questonnaire with the feedback – HERE – where you should paste a link to the certificate issued in the online course. Following this, the course supervisor will give you credits in SIS. 

How is the course evaluated? 

  • Assessment is based on exercises, including multiple choice quizzes, numerical exercises, and questions that require a written answer. The multiple choice and numerical exercises are automatically checked, and the exercises with written answers are reviewed by other students (peer grading) and in some cases by the instructors.

How to register?

  • CUNI students enrol via SIS, the subject code is TVOL0017

  • The registration is open 2 weeks before the semester starts. The capacity is not limited.

  • Others within and outside of Charles University can pass the course for free after the registration at

Do you have any questions?

Don’t hesitate to contact us!

Course supervisor: Eliška Sýkorová


Last change: March 3, 2022 13:39 
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