Generative AI is reshaping how we create, experience, and safeguard music and entertainment. This workshop presents technologies that expand creative expression while honoring responsibility. On the creative side, we share collaborative artworks with leading sound artists, neural engines for sound design and performance, and automatic mixing that adapts to musical intent. We also present a large multimodal dataset for multishot speech video that supports research on coherent and controllable speech, together with specialized language models that orchestrate camera transitions, gestures, vocal cues, and sound effects. On the protective side, we advance AI methods for data attribution, traceability, and responsible model behavior that safeguard creative data and prevent unintended memorization, ensuring fairness, transparency, and respect for creators’ rights. Together, these threads outline an ecosystem in which AI amplifies artistic practice while preserving the integrity of human contribution.