Ethics of AI (4 ECTS)
Code: TT00EV08-3002
General information
- Timing
- 01.01.2022 - 31.12.2022
- Implementation has ended.
- Number of ECTS credits allocated
- 4 ECTS
- Virtual portion
- 4 ECTS
- Mode of delivery
- Online
- Campus
- Karaportti 2
- Teaching languages
- English
- Seats
- 0 - 1000
- Degree programmes
- Information and Communication Technology
- Teachers
- Virve Prami
- Course
- TT00EV08
Location and time
100% online Self-Study course which can be done in own pace.
Study environment is TechClass -portal.
Materials
Lecture slides, tutorial videos, quizzes, exercises, project.
Employer connections
N/A
Exam schedules
N/A
International connections
N/A
Completion alternatives
N/A
Evaluation methods and criteria
Exercises 50%
Quizzes 25%
Project 25%
Student workload
Lectures = 30h
Exercises = 30h
Self-study = 20h
Quizzes = 5h
Project = 15h
Total = 100 hours
Content scheduling
Up to Student her-/himself.
Teaching methods
This course is 100% virtual thanks to the comprehensive tutorial videos and content prepared for this course.
The student will pass this course after submitting the required quiz, assignments, and the final project.
Further information
Course is for Open UAS Students.
Enrolments via hakija työpöytä https://hakija.oma.metropolia.fi/
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, satisfactory (1)
- The student is familiar with the ethics of AI.
- The student is familiar with the hardness of ethical decision-making.
- The student is familiar with the impact of AI-generated disinformation.
- The student is familiar with the concept of deepfake.
- The student is familiar with the concept of privacy.
- The student is familiar with the concept of bias.
Assessment criteria, good (3)
- The student knows about the philosophy of ethics and why it is important
- The student completely knows about the limitation of AI and Its threads.
- The student knows about the impact of AI on detecting and generating disinformation.
- The student is familiar Impact of AI on Surveillance and the way we can stand against its threads.
- The student knows the fairness and different types of bias in AI
- The student is familiar with the concept of accountability in AI
- The student is familiar with how AI ethics is used in practice.
- The student is familiar with AI transparency.
Assessment criteria, excellent (5)
- The student completely understands why AI can be a double-edged sword when comes to disinformation generation.
- The student knows his/her rights to privacy
- The student knows how to overcome the problem of AI-based surveillance systems.
- The student understands the difference between equality and equity.
- The student knows about the responsible AI framework.
- The student knows how AI ethics can be used in practice.
- The student knows about AI transparency.
Further information
Course is for Open UAS Students.
Enrolments via hakija työpöytä https://hakija.oma.metropolia.fi/