Veidlapa Nr. M-3 (8)
Study Course Description

Artificial Intelligence and Human Psychology

Main Study Course Information

Course Code
VPUPK_401
Branch of Science
Other Sub-Branches of Psychology; Psychology
ECTS
3.00
Target Audience
Psychology
LQF
All Levels
Study Type And Form
Full-Time; Part-Time

Study Course Implementer

Course Supervisor
Structure Unit Manager
Structural Unit
Department of Health Psychology and Paedagogy
Contacts

Riga, 5 J. Asara Street, vppk@rsu.lv, +37167061587

About Study Course

Objective

To introduce students to the human cognitive process and basic principles of artificial intelligence, to promote students’ understanding of technology and human interaction and the ethical aspects of the use of AI tools, to improve the skills to analyse the objectivity and deficiencies of AI tools.

Preliminary Knowledge

General psychology, Cognitive psychology.

Learning Outcomes

Knowledge

1.Students name and describe a person’s cognitive processes and explain their functions

Individual work and tests

Human cognitive processes test

2.Students name and describe basic principles and key concepts of AI and machine learning

Individual work and tests

Self-assessment test on basic principles of AI and machine learning

3.Students describe and describe AI ethical considerations and assess risks

Individual work and tests

Test on ethical aspects of the use of AI

Skills

1.Explains the functions of cognitive processes and the interaction between cognitive processes

Individual work and tests

Human cognitive processes test

2.Analyses, compares and evaluates the impartiality and suitability of AI tools for specific situations, identifies weaknesses in AI tools

Individual work and tests

AI tool usage analysis and self-reflection Potential bias or inaccuracy of AI tools, case analysis

3.Explain ethical considerations related to the fair use of AI, assess potential risks

Individual work and tests

Test on ethical aspects of the use of AI

4.Ability to critically evaluate and self-reflect how AI use affects a person’s thinking, work style and decision making

Individual work and tests

AI tool usage analysis and self-reflection Potential bias or inaccuracy of AI tools, case analysis

5.Analyses scientific literature on the effects of technology, specific AI, on mental health

Individual work and tests

AI tool usage analysis and self-reflection

Competences

1.Critically reflecting on the experience of using personal technology, recognising both the powerful aspects and weaknesses of AI

Individual work and tests

AI tool usage analysis and self-reflection Self-assessment test on basic principles of AI and machine learning

2.Able to discuss the psychological impact of technology on humans

Individual work and tests

AI tool usage analysis and self-reflection

3.Demonstrates the psychological flexibility to adapt to technological changes and the diverse range of AI tools

Individual work and tests

AI tool usage analysis and self-reflection Self-assessment test on basic principles of AI and machine learning Potential bias or inaccuracy of AI tools, case analysis

4.Able to make confident and critical use of technology and technological solutions in professional activities

Individual work and tests

AI tool usage analysis and self-reflection Potential bias or inaccuracy of AI tools, case analysis

Assessment

Individual work

Title
% from total grade
Grade
1.

AI tool usage analysis and self-reflection

20.00% from total grade
10 points

An individual essay on the use of AI tools in a real-life example, describing the steps in using the tool and reflecting on personal motivation, as well as the delivery of results from the tool to accomplish the task and the tool’s deficiencies

2.

Potential bias or inaccuracy of AI tools, case analysis

20.00% from total grade
10 points

Analysis of an independently selected case where potential bias, inaccuracy of AI tools is reflected

Examination

Title
% from total grade
Grade
1.

Human cognitive processes test

20.00% from total grade
10 points

Digital test in e-studies on basic definitions and functions of cognitive processes, concepts used

2.

Self-assessment test on basic principles of AI and machine learning

20.00% from total grade
10 points

Digital test in e-studies on basic principles of AI and machine learning and concepts used

3.

Test on ethical aspects of the use of AI

20.00% from total grade
10 points

Digital test in e-studies on ethical aspects and basic principles of AI use

Study Course Theme Plan

FULL-TIME
Part 1
  1. Lecture

Modality
Location
Contact hours
On site
Study room
2

Topics

Course introduction, technology-human interaction
Description

Course objectives, topics, tasks, deadlines and evaluation criteria.

  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
2

Topics

Application of technology and AI on a daily basis
Description

Seminar on the day-to-day application of student technology and AI

  1. Lecture

Modality
Location
Contact hours
On site
Study room
2

Topics

Human intelligence and cognitive processes
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
2

Topics

Human intelligence and cognitive processes
  1. Lecture

Modality
Location
Contact hours
On site
Study room
2

Topics

Artificial intelligence (AI) and the fundamentals of machine learning
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
2

Topics

AI tools and examples of their use
Description

Seminar on top AI tools and their applications

  1. Lecture

Modality
Location
Contact hours
On site
Study room
2

Topics

Ethical aspects and risks of using technology and AI tools
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
2

Topics

Ethical aspects and risks of using technology and AI tools
  1. Lecture

Modality
Location
Contact hours
On site
Study room
2

Topics

Critical thinking and its role in AI usage
Description

Linking cognitive processes to AI tool usage

  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
2

Topics

Critical thinking and its role in AI usage
Description

Linking cognitive processes to AI tool usage

  1. Lecture

Modality
Location
Contact hours
On site
Study room
2

Topics

Man in the digital age, the influence of technology
Description

Digital transformation, the impact of technology on human mental health and the psychological phenomena studied today related to the use of technology

  1. Lecture

Modality
Location
Contact hours
On site
Study room
2

Topics

Psychology in the digital age
Description

Application of technology and AI tools in psychology research and psychological assistance services

  1. Lecture

Modality
Location
Contact hours
On site
Study room
2

Topics

Future perspectives for human-technological interaction
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
2

Topics

Future perspectives for human-technological interaction
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
2

Topics

Presentation and continuous work of the discussion, according to the chosen topic
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
2

Topics

Presentation and continuous work of the discussion, according to the chosen topic
Total ECTS (Creditpoints):
3.00
Contact hours:
32 Academic Hours
Final Examination:
Exam
PART-TIME
Part 1
  1. Lecture

Modality
Location
Contact hours
On site
Study room
2

Topics

Course introduction, technology-human interaction
Description

Course objectives, topics, tasks, deadlines and evaluation criteria.

  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
2

Topics

Application of technology and AI on a daily basis
Description

Seminar on the day-to-day application of student technology and AI

  1. Lecture

Modality
Location
Contact hours
On site
Study room
2

Topics

Human intelligence and cognitive processes
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
2

Topics

Human intelligence and cognitive processes
  1. Lecture

Modality
Location
Contact hours
On site
Study room
2

Topics

Artificial intelligence (AI) and the fundamentals of machine learning
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
2

Topics

AI tools and examples of their use
Description

Seminar on top AI tools and their applications

  1. Lecture

Modality
Location
Contact hours
On site
Study room
2

Topics

Ethical aspects and risks of using technology and AI tools
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
2

Topics

Ethical aspects and risks of using technology and AI tools
  1. Lecture

Modality
Location
Contact hours
On site
Study room
2

Topics

Critical thinking and its role in AI usage
Description

Linking cognitive processes to AI tool usage

  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
2

Topics

Critical thinking and its role in AI usage
Description

Linking cognitive processes to AI tool usage

  1. Lecture

Modality
Location
Contact hours
On site
Study room
2

Topics

Man in the digital age, the influence of technology
Description

Digital transformation, the impact of technology on human mental health and the psychological phenomena studied today related to the use of technology

  1. Lecture

Modality
Location
Contact hours
On site
Study room
2

Topics

Psychology in the digital age
Description

Application of technology and AI tools in psychology research and psychological assistance services

  1. Lecture

Modality
Location
Contact hours
On site
Study room
2

Topics

Future perspectives for human-technological interaction
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
2

Topics

Future perspectives for human-technological interaction
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
2

Topics

Presentation and continuous work of the discussion, according to the chosen topic
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
2

Topics

Presentation and continuous work of the discussion, according to the chosen topic
Total ECTS (Creditpoints):
3.00
Contact hours:
32 Academic Hours
Final Examination:
Exam

Bibliography

Required Reading

1.

Mākslīgais intelekts augstākajā izglītībā. RSU, 2024

2.

Explanation in artificial intelligence: Insights from the social sciences (Miller, 2019)

3.

Human- versus Artificial Intelligence (Korteling, et al., 2021)

4.

Cognitive psychology-based artificial intelligence review (Zhao, et al., 2022)

5.

Čukurs, E., Hofmane, A. (2014). Psihiskie procesi. No: Mārtinsone, K., Miltuze, A. (red.), Psiholoģija. 1. grāmata (127. -167. lpp). Rīga: Zvaigzne ABC. (akceptējams izdevums)