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AI Series: AI EthicsLaajuus (5 cr)

Code: AT00DH92

Credits

5 op

Teaching language

  • English

Objective

- Introduction to AI Ethics: Understand the importance of AI ethics and explore key principles and ethical issues in AI applications.
- AI Applications and Ethical Considerations: Delve into the ethical concerns of AI in various fields, such as autonomous vehicles, healthcare, and cybersecurity.
- Key Issues in AI Ethics: Examine the challenges of bias, reliability, data ownership, human decision-making, and transparency in AI systems.
- Human Rights and AI: Explore the intersection of AI and human rights, focusing on privacy, security, inclusion, and human-centered design principles.
- Governance, Policies, and the Future of AI Ethics: Understand the role of governance and policies in AI ethics and explore future challenges and responsible AI development.

Enrollment

01.08.2025 - 31.07.2026

Timing

01.08.2025 - 31.07.2026

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Faculty of Technology (LAB)

Campus

E-campus

Teaching languages
  • English
Degree programmes
  • Complementary competence, Bachelor's
Teachers
  • Saku Syngelmä
  • Juhani Grape
Groups
  • TLABTO25-26E
    Complementary competence (Bachelor's) 2025-2026, Faculty of Technology
  • TLABTO25-26

Learning outcomes

- Introduction to AI Ethics: Understand the importance of AI ethics and explore key principles and ethical issues in AI applications.
- AI Applications and Ethical Considerations: Delve into the ethical concerns of AI in various fields, such as autonomous vehicles, healthcare, and cybersecurity.
- Key Issues in AI Ethics: Examine the challenges of bias, reliability, data ownership, human decision-making, and transparency in AI systems.
- Human Rights and AI: Explore the intersection of AI and human rights, focusing on privacy, security, inclusion, and human-centered design principles.
- Governance, Policies, and the Future of AI Ethics: Understand the role of governance and policies in AI ethics and explore future challenges and responsible AI development.

Assessment scale

1-5