Responsible and Accountable AI 1 – Foundations (1cr)
Code: C-10065-LX00GX60-3001
General information
- Enrollment
- 04.05.2026 - 30.11.2026
- Registration for introductions has not started yet.
- Timing
- 01.06.2026 - 31.12.2026
- The implementation has not yet started.
- Number of ECTS credits allocated
- 1 cr
- Institution
- Metropolia University of Applied Sciences, Myllypurontie 1
- Teaching languages
- Finnish
- Seats
- 0 - 100
- Course
- C-10065-LX00GX60
Unfortunately, no reservations were found for the realization Responsible and Accountable AI 1 – Foundations C-10065-LX00GX60-3001. It's possible that the reservations have not yet been published or that the realization is intended to be completed independently.
Evaluation scale
0-5
Content scheduling
The course is designed to be completed in three parts. The schedule can be adapted to suit individual circumstances.
Objective
The study unit provides a solid foundation for the responsible use of artificial intelligence. Upon completing the study unit, the student will be able to:
• identify and describe the key impacts, risks, and responsibility-related issues associated with the use of artificial intelligence
• assess the reliability and appropriateness of content produced by artificial intelligence using given criteria
• justify their own choices and ways of working from the perspective of the responsible use of artificial intelligence.
The competence requirements of the study unit correspond to basic-level competence in accordance with the Ministry of Education and Culture’s framework for artificial intelligence competence (MEC, https://okm.fi/tekoaly-ja-osaamine n).
Content
• Key concepts
• Key legislation and other requirements
• Impacts, challenges and risks
• Ensuring responsibility in practice
Location and time
Time- and location-independent learning in Moodle
Materials
Course materials and readings are provided via Moodle
Teaching methods
Independent study in Moodle
Employer connections
na
Exam schedules
Independently completed tests
International connections
-
Completion alternatives
na
Student workload
1 ECTS credit = 27 hours of student workload
The course assesses competence. The required workload depends on the student’s prior knowledge and personal learning objectives.
Qualifications
IT-perustaidot hallussa
Digiturvastartin suorittaminen tätä ennen suositeltavaa