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Augmented intelligence in service production (5 cr)

Code: CO00FR38-3001

General information


Enrollment
17.03.2025 - 13.04.2025
Registration for the implementation has begun.
Timing
02.05.2025 - 31.08.2025
The implementation has not yet started.
Number of ECTS credits allocated
5 cr
Local portion
0 cr
Virtual portion
5 cr
Mode of delivery
Distance learning
Unit
Opetuksen hallinto ja kehittäminen
Campus
Ecampus
Teaching languages
Finnish
Seats
15 - 50
Teachers
Anni Issakainen
Päivi Lifflander
Groups
RIPA25
Cross-institutional studies
Course
CO00FR38
No reservations found for realization CO00FR38-3001!

Objective

You understand Enhanced Intelligence (Artificial Intelligence) as a concept and a phenomenon as well as its performance, awareness, and senses.
You can recognize the methods of Enhanced Intelligence (AI) and the importance of service production in managing data and the brain load of employees.
You understand the importance of information literacy related to Enhanced Intelligence (AI) and the risks of misinformation and disinformation.
You understand the importance of utilizing Enhanced Intelligence (AI) in service production, as well as ethics and safety.
You know how to plan, implement, and evaluate the use of Enhanced Intelligence in service production by multi-professionals.

Content

What is Enhanced Intelligence (AI) as a concept and phenomenon?
How does Enhanced Intelligence (AI) manifest as performance, awareness, and senses?
How can use Enhanced Intelligence (AI) in service production utilizing data and managing the brain load of employees?
How is the reliability of information misinformation and disinformation identified in the evaluation of the results of Enhanced Intelligence (AI)?
How can Enhanced Intelligence (AI) be used in service production taking into account ethics and technical safety?
How do you plan, implement, and evaluate Enhanced Intelligence (AI) using in-service production multi-professional?

Course material

Opintojaksolla käytetään seuraavaa kirjallisuutta:
• Salo, I. 2024. Luova tekoäly työn supervoimana. Helsingin seudun Kauppakamari. löytyy myös Kaakkurista e-kirjana. Myös muita vastaavia lähteitä voi käyttää.

Muu opiskelumateriaali julkaistaan Learn-ympäristössä opintojakson alkaessa.

Study forms and methods

This is a CampusOnline implementation and is not intended for Xamk degree students.

Evaluation scale

1-5

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