Institutional aspects of the use of artificial intelligence in higher education and science: The role and importance of compliance

   Aim. To formulate approaches to institutional regulation and preventive response to risks associated with the use of artificial intelligence technologies in science and higher education organizations on the basis of compliance.

   Objectives. To determine the elements of compliance system aimed at reducing the risks of using artificial intelligence; to identify the trends of institutional development related to the integration of generative artificial intelligence technologies in scientific and educational and administrative and management processes.

   Methods. The issues of adaptation of institutional mechanisms of modern higher education to the challenges of technological development are investigated on the basis of system, risk-oriented, logical and structural approaches of scientific knowledge. The methods of analysis, synthesis and classification were applied to form the elements of compliance-system of artificial intelligence.

   Results. The concept of artificial intelligence compliance is designed to expand the strategy of digital transformation of higher education organizations by introducing new objects into the subject area of management, in particular, the risks of artificial intelligence technologies, as well as the development of protective, regulatory and information-management functions. Methods compliance allows to create organizational mechanisms that provide protection of higher education and science organizations from unfair behavior of subjects in the field of artificial intelligence. Artificial intelligence compliance in higher education should ensure the protection of human rights and freedoms, compliance with the rules of academic honesty and scientific integrity, assessment of the reliability of artificial intelligence systems in the educational process, protection of personal data and confidential information, copyright protection, counteraction to data falsification and cybercrime.

   Conclusions. Proactive management on the basis of compliance methodology will reduce the risks of implementation of artificial intelligence technologies in the activities of universities and will help to effectively adapt to the challenges of technological development.

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