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Ethical Guidance on the Use of Generative Artificial Intelligence (GENERATIVE AI) Tools
What is Generative Artificial Intelligence (GAI)?
Generative Artificial Intelligence (GAI) is the answering of tasks that require human intelligence, such as reasoning, problem solving, perception and text writing, with algorithms taught to the machine. These algorithms are used in many areas, from image generation to predictive analytics and from decision-making to recommendation systems. Generative AI technologies have the potential to support personalized and differentiated learning. In this sense, they can facilitate planning and operational work while supporting teaching for academics and students. It can help students synthesize complex ideas, create personalized content and provide instant feedback. It can also support students’ research and writing activities and provide opportunities to develop critical thinking, problem solving and research skills.
On the other hand, generative AI technologies can also be used in ways that violate academic, ethical and legal rules. This document has been prepared to set out the basic principles for the ethical, safe and responsible use of productive artificial intelligence technologies at Kadir Has University and to provide advice to students and academics in this context.
Key Principles of Productive Artificial Intelligence Use
1) Today, it is not possible to isolate artificial intelligence technologies from the field of education and training. Faculty members and students can and should use productive artificial intelligence technologies effectively with a transparency-based approach and within the framework of academic ethics.
2) The general framework and limits of the use of artificial intelligence technologies at Kadir Has University are determined by the relevant documents of the Council of Higher Education and the University’s Scientific Research and Publication Ethics Directive.
3) Instructors are free to determine the use of artificial intelligence technologies in students’ assignments, projects, theses, and other educational and training activities, taking into account the general restrictions stated below. Within the knowledge, permission and guidance of the instructors, students may use productive artificial intelligence tools as an additional resource to support their courses, to mature their ideas, and to conduct practical studies.
4) Instructors should inform students at the beginning of the semester about how and within what framework productive artificial intelligence technologies should or should not be used within the scope of their courses. This should be clearly stated in the course syllabus.
5) If an assignment, project, thesis, etc. involves the use of generative artificial intelligence:
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The productive artificial intelligence tools used should be indicated in accordance with the bibliography rules.
Primary sources should be reached in the references used.
The commands given to the generative artificial intelligence, the answers received and how the evaluation was made within the scope of the study should be included at the end of the study.6) As stated in the Council of Higher Education’s “Ethical Guidelines on the Use of Productive Artificial Intelligence in Scientific Research and Publication Activities of Higher Education Institutions” document, it is appropriate to use UIC in (i) data analysis through self-trained models, (ii) translation or language control of scientific research, (iii) text and image tagging, and (iv) data quality analysis. However, there are issues to be considered. Respectively, it should be kept in mind that (i) data analysis may be unethical in case of using a ready-made NPI system, (ii) the final control in translation and language control should be done by the researcher and the responsibility belongs to the user, (iii) the objectivity and quality of the data set used in text and visual labeling is decisive, (iv) NPI tools should not be used alone in data evaluation, and (v) the purpose and scope of use of NPI should not include stages that require high-level skills, experience and expertise such as hypothesis development, discussion, interpretation and application.
7) In the Ethics Committee applications, the necessary information on how the UIC will be used in the research (purpose, scope.
8) It is the responsibility of the users to use Generative AI within the framework of the basic ethical values set out in the HHE Guidelines (transparency, honesty, care, fairness and respect, confidentiality and privacy protection, accountability and responsibility, contributing to the ethical climate).