Study of ethical guidelines for AI tools in higher education in Nordic region
Wahid, Tamanna Tarannum (2024)
Pro gradu -tutkielma
2024
School of Business and Management, Kauppatieteet
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2024061854199
https://urn.fi/URN:NBN:fi-fe2024061854199
Tiivistelmä
The use of artificial intelligence (AI) in higher education is gradually revolutionizing the academic environment, particularly in the Nordic area renowned for its forward-thinking approach on technology and education. This thesis explores the ethical regulations that regulate the utilization of AI technologies in higher education institutions in Denmark, Finland, Norway, and Sweden. The research focuses on two main inquiries: What are the existing ethical norms and regulations for AI in education, and how well do they work in Nordic higher education? 2) What are the possible effects of AI technology on higher education in the Nordic region?
The research combines a thorough examination of existing literature, analysis of university policy, and interviews with experts to identify prominent topics like data privacy, bias in AI algorithms, and the delicate equilibrium between innovation and responsibility. The results demonstrate notable disparities and resemblances in the Nordic nations' approaches to AI ethics in education, emphasizing notable methods and areas that require enhancement. This study offers an in-depth comparative examination of AI ethical principles across different countries, presenting the data in a well-organized manner. The obtained findings highlight the significance of trust, transparency, and ongoing enhancement in AI applications. The research presents a collection of ethical principles specifically designed for the use of AI in Nordic higher education. These principles are intended to encourage the appropriate integration of AI, which improves learning outcomes while ensuring adherence to ethical norms.
The research combines a thorough examination of existing literature, analysis of university policy, and interviews with experts to identify prominent topics like data privacy, bias in AI algorithms, and the delicate equilibrium between innovation and responsibility. The results demonstrate notable disparities and resemblances in the Nordic nations' approaches to AI ethics in education, emphasizing notable methods and areas that require enhancement. This study offers an in-depth comparative examination of AI ethical principles across different countries, presenting the data in a well-organized manner. The obtained findings highlight the significance of trust, transparency, and ongoing enhancement in AI applications. The research presents a collection of ethical principles specifically designed for the use of AI in Nordic higher education. These principles are intended to encourage the appropriate integration of AI, which improves learning outcomes while ensuring adherence to ethical norms.