Ethical Implications and Academic Integrity in Education. Role of Generative Artificial Intelligence

Abstract

Generative artificial intelligence is one of the biggest advances in computing and radically altering the way machines produce information. These technologies may independently produce unique literature, images, music or code that frequently rivals human creativity, in contrast to typical AI that only classify or predict. This extraordinary capacity is the result of complex designs such as generative adversarial networks, variational autoencoders and transformers like BERT and GPT. The results show issues with prejudice, authorship uncertainty and plagiarism. The study emphasizes how important it is to create institutional policies and ethical literacy. It suggests that responsible AI integration is necessary to support openness, responsibility and integrity in educational settings. This study analyses peer reviewed publications from academic databases in order to investigate these urgent topics. The technological evolution that led us here, unique challenges facing academic institutions, emerging governance approaches and the critical research required for AI integrated future are interconnected themes that we examine throughout this paper. According to our research, generative AI has enormous potential to improve human knowledge and creativity, but achieving this promise will need careful ethical considerations, creative teaching strategies and unprecedented transdisciplinary collaboration.