Generative AI Ethical Challenges: By Creative and Professional Communities

This Paper investigates the ethical transformations and creative dilemmasemerging from the widespread adoption of generative artificial intelligence (GenAI) in content creation. The study examines attitudes regarding authorship, ethical issues, and regulatory rules by conducting interviews with 120 GenAI users from academic, creative, and professional fields. Results show that most participants prefer to give credit to co-authors or themselves when using GenAI and only a small percentage want the AI to have sole authorship. Concerns over ethics are moderate and almost always present, reaching their highest levelconcerning liability (3.12), then labeling (3.00), and then bias (2.98) on a 5-point scale. Although individuals frequently used GenAI tools, there was no clear link between the amount of GenAI they used and their sensitivity to ethics. People working in creative fields were more likely than technologists to back stronger government oversight. Users notice GenAI’s ability to generate fresh ideas, though they also have doubts about its accountability, the roles it plays in knowledge, and its ability to replace human creativity. It ends by urging the development of strategies and education focused on ethical principles, ensuring that technology serves society.