On training data: We do not prompt with direct references to other creatives' work. References inspire, the way they always have, but we never feed another artist's images to AI as something to copy. Every project carries a creative signature: our own art direction, or the vision of the artist we are working with. We actively seek out AI artists who have a visual perspective of their own, not the ones who are skilled at imitating an existing style. That choice does real work to sidestep one of the core ethical problems with generative tools.On the people who appear in the work: When we generate human faces, we run them through similarity checks (tools like FaceCheck.ID, PimEyes, and platform-level safeguards) before anything reaches a client, to flag any drift toward a real person's likeness. That said, we cannot guarantee a generated face is 100% unique, which is why our actual preference is to work with real models under proper consent agreements that explicitly cover AI-generated extensions of their likeness: additional coverage, lip-sync localisation, scene extensions. The generated layer sits on top of a consented performance, not in place of one.On bias: Cultural bias in AI output is not a model problem we hand off to better software; it is a creative decision made at the art direction stage, every time. It is addressed in how we brief, how we prompt, which references we choose, and (just as importantly) what we actively reject. Experienced creatives carry that responsibility into the work. The model does not.On the people working in the creative industry, whose roles are changing: We will not pretend the disruption is not real. What we can say is that the AI artists we work with came almost entirely from traditional production: retouching, photography, motion graphics, CGI. The roles are changing shape, not disappearing. The craft transfers; the workflow adapts. That is the more honest picture than either "AI takes the jobs" or "nothing has changed.AI without ethics is a shortcut. Modern Production is not.