Responsible and Accountable AI 2 – In Work and Practice (1cr)

Code: C-10065-LX00GX61-3001

General information

Enrollment: 04.05.2026 - 30.11.2026; Registration for introductions has not started yet.

Timing: 01.08.2026 - 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-LX00GX61

Unfortunately, no reservations were found for the realization Responsible and Accountable AI 2 – In Work and Practice C-10065-LX00GX61-3001. 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 deepens competence in the responsible use of artificial intelligence in expert roles. Upon completing the study unit, the student will be able to:
• use artificial intelligence in their own work while weighing different dimensions of responsibility and assessing the impacts of its use
• identify key risks, constraints, and opportunities in the use of artificial intelligence relevant to their own practice
• critically evaluate their own practice as a user of artificial intelligence
• use artificial intelligence to support learning and problem-solving
• act transparently and with clear justification when using artificial intelligence as part of their own work.

The competence requirements of the study unit correspond to foundational-level competence in accordance with the Ministry of Education and Culture’s framework for artificial intelligence competence (OKM, https://okm.fi/tekoaly-ja-osaamine n).

Content

• Key concepts
• Risks, constraints, and opportunities
• Critical thinking in one’s own work and other activities
• Ensuring responsibility in one’s own work and activities

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

Exam schedules

Independently completed tests

International connections

Completion alternatives

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

Responsible and Accountable AI 1 – Foundations course unit completed