Generative AI is increasingly used to produce media content, yet it often reproduces or amplifies existing social biases. To understand how users perceive such biases, evaluate them morally, and see their own and others' role in addressing them, we conducted 36 semi‑structured interviews with individuals differing in AI experience. Participants expressed ambivalent views: Many recognized that biased training data, probabilistic generation, and AI’s limited reflective capacities can lead to biased outputs, while AI was also perceived as neutral and bias attributed primarily to human creators and users. Moral evaluations centered on perceived agency and responsibility, with humans judged as more accountable than AI. At the same time, participants worried that AI could amplify stereotypes due to its capability to produce large amounts of media content. Responsibility for countering AI bias was attributed across micro‑ (users, developers), meso‑ (companies, platforms), and macrolevels (policy), with effective mitigation seen as requiring coordinated action.