Fair Principles and Artificial Intelligence in Education: Challenges of Integration and the Role of the Research and Teaching Staff

- Новицька, Т.Л. (orcid.org/0000-0003-2591-5218) and Ткаченко, В.А. (orcid.org/0000-0003-4028-4522) (2026) Fair Principles and Artificial Intelligence in Education: Challenges of Integration and the Role of the Research and Teaching Staff In: Проблеми та інновації в математичній, цифровій, природничій і професійній освіті: збірник матеріалів ХХІ-ї Міжнародної науково-практичної онлайн-інтернет конференції, м. Кропивницький, 28 травня 2026 року . Інформаційний відділ ЦДУ ім. В. Винниченка, м. Кропивницький, Україна, pp. 249-251.

Text Новицька Т.Л., Ткаченко В.А._тези 2026_С. 249-251.pdf - Published Version Download (457kB)

Abstract

The publication argues that the use of AI in education without adherence to the FAIR principles inevitably leads to low quality, an inability to reproduce results, and threats to academic integrity. Academic and teaching staff play a key role in overcoming these challenges as intermediaries between technology and the educational process. Any automated system in education is, first and foremost, a data processing system, which forms the foundation of educational automation. The effective use of AI in education is impossible without adherence to the FAIR principles. Unstructured, inaccessible, and incompatible data lead to poor-quality predictions, biases, and an inability to reproduce results. In the age of AI, educators must transform into active facilitators who manage data, verify algorithms, interpret results, and develop guidelines for using AI in the educational process. The first steps should be: creating FAIR-compliant educational data repositories at the national level, and incorporating modules on data management and the fundamentals of AI into professional development programs for academic and pedagogical staff. Thus, the combination of FAIR principles and the responsible use of AI, facilitated by competent academic and teaching staff, has the potential to drive qualitative changes in the educational process.

Item Type:	Book Section
Keywords:	Fair principles, artificial intelligence, education, integration, research and teaching staff member
Subjects:	Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 001 Science and knowledge in general. Organization of intellectual work > 001.9 Dissemination of ideas Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 Application-oriented computer-based techniques Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 37.01/.09 Special auxiliary table for theory, principles, methods and organization of education Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 374 Education and training out of school. Further education
Divisions:	Institute for Digitalisation of Education > Department of Open Education and Scientific Information Systems
Depositing User:	науковий співробітник Алла Віленівна Кільченко
Date Deposited:	24 Jun 2026 14:47
Last Modified:	24 Jun 2026 14:47
URI:	https://lib.iitta.gov.ua/id/eprint/749717

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