As artificial intelligence becomes increasingly integrated into professional and academic environments, questions about fairness, accountability, transparency, and regulation have become more urgent. While existing research explores AI literacy, trust, professional implementation, and theoretical ethical concerns, fewer studies directly examine how the general public evaluates specific ethical issues such as disclosure requirements, bias, data privacy, job security, productivity impacts, and responsibility for harm.
