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DSA 440
Data and Artificial Intelligence (AI) Ethics

Faculty Faculty of Engineering and Natural Sciences
Semester Spring 2025-2026
Course DSA 440 - Data and Artificial Intelligence (AI) Ethics
Time/Place
Time
Week Day
Place
Date
10:40-12:30
Mon
FENS-L045
Feb 16-May 22, 2026
15:40-16:30
Wed
UC-G030
Feb 16-May 22, 2026
Level of course Undergraduate
Course Credits SU Credit:3, ECTS:6, Engineering:6
Prerequisites -
Corequisites -
Course Type Lecture

Instructor(s) Information

Dilara Keküllüoğlu

Course Information

Catalog Course Description
Artificial Intelligence systems have become increasingly involved with our lives. These systems can be used in relatively low-stakes decision making such as recommender systems but they are also used in medical contexts too. More recently, wider public use generative AI tools such as ChatGPT and Midjourney to write documents, reports, and emails, or create pictures, and logos to use in various ways. All of these introduce ethical challenges with implications on data ethics, privacy, bias, sustainability, and so on. This course will introduce the ethical implications of artificial intelligence to the students. We will also discuss our role in this and how to take steps to minimize harm as people working with big data and AI (e.g. future researchers, software engineers, or analysts).
Course Learning Outcomes:
1. Describe ethical issues surrounding collection and use of data
2. Explain concepts around AI ethics such as fairness, accountability, transparency, privacy, and sustainability
3. Assess AI systems according to the ethical AI principles
4. Design AI systems with ethical AI principles in mind
Course Objective
-

Course Materials

Resources:
No main reference. There will be open-access articles and tools as references, shared
every week.
Technology Requirements:

Policies