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The emergence of generative AI, particularly large language models (LLMs)
such as GPT and image generators like DALL·E, has fundamentally transformed how content is
created and consumed. In education, these tools support personalized learning, assist educators, and
enable novel teaching methods. In publishing, they enable rapid production of content, automate
editing, and facilitate global dissemination of information. While the benefits are evident, the ethical
questions raised by this technology cannot be ignored. Concerns around data misuse, plagiarism,
misinformation, and content authenticity continue to grow. As AI becomes increasingly integrated
into these sectors, it is essential to evaluate both its potential and its pitfalls. This paper aims to
provide a comprehensive analysis of the ethical implications of generative AI in education and
publishing, offering insights for stakeholders to navigate this evolving landscape responsibly.
Read more at Ethical Implications of Generative AI in Education and Publishing.pdf
