Criteria for Evaluating Scientific Posters with Elements of Artificial Intelligence
DOI:
https://doi.org/10.47451/phl2025-10-01Keywords:
education, poster, artificial intelligence, academic integrityAbstract
Education benefits greatly from visual learning, as visual memory accounts for a significant portion of brain activity. Visual aids such as posters distill complex data and foster dynamic discussions, making them indispensable in academic presentations. Posters are becoming increasingly popular in the educational environment because they allow complex data to be illustrated concisely and comprehensively. However, artificial intelligence (AI) poses certain challenges in the creation and evaluation of posters, raising concerns about academic integrity and personal contribution. The subject of the study is the criteria and methodological approaches used to assess the quality, originality, and academic integrity of posters produced with the assistance of artificial intelligence tools. The object of the study is the process of creating and evaluating scientific posters within the educational environment, particularly those incorporating elements of artificial intelligence. The study aims to develop a unified set of objective criteria for evaluating scientific posters that include AI-generated elements, ensuring ethical compliance, transparency, and fairness in academic assessment practices. This study examines poster evaluation criteria, considering the role of AI, to ensure fairness and transparency in an academic setting. Clear guidelines and requirements for disclosure of AI use are essential for maintaining ethical standards in poster presentations.
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