Ethics of AI (4 ECTS)

Objective

Artificial intelligence has rapidly progressed in the past decade. This progress has caused AI to become an inseparable part of everybody's lives. Therefore, we must be aware of AI models' limitations as they begin to make important decisions for us. This course will first review the philosophy of ethics and why ethical decision-making is hard. Then it will explore the ethical aspects of AI and discuss each of these aspects as an ethical problem in each chapter. Finally, at the end of each chapter, it suggests some ideas that can address these problems. After passing this course, the student will learn about AI ethics and become familiar with the concepts of disinformation, privacy, bias and fairness, accountability, and the impact of AI on these concepts.

Content

1. Introduction:
What is AI? – What is Ethics? – The Trolley Problem – What is AI Ethics? – AI Ethics Framework

2. Disinformation:
AI and Disinformation – Deep Fakes – How to Deal with AI-enabled Disinformation?

3. Privacy and Surveillance:
Human Right to Privacy – AI and Threats to Privacy – Impact of AI on the Surveillance World – How to Overcome the Threats

4. Bias and Fairness:
Definitions of Bias – Different Types of Bias in AI – Fairness – Fairness in AI and Machine Learning

5. Accountability:
What is Accountability? – Algorithms and Accountability – Responsible AI

6. Ethics of AI in Practice:
Ethics as Doing – Next Steps

7. Final Tasks
Project – Self-study Essay

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.

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.

Employer connections

N/A

Exam schedules

N/A

International connections

N/A

Completion alternatives

N/A

Student workload

Lectures = 30h
Exercises = 30h
Self-study = 20h
Quizzes = 5h
Project = 15h
Total = 100 hours

Content scheduling

Up to Student her-/himself.

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.

Assessment methods and criteria

Exercises 50%
Quizzes 25%
Project 25%

Further information

Course is for Open UAS Student.

Further information

Course is for Open UAS Student.