AI models trained using the Human Creativity Benchmark benefit from subjective, high-quality feedback that reflects human taste and creative standards. This human-in-the-loop process—also known as creative RLHF (reinforcement learning from human feedback)—ensures that generative tools produce outputs that resonate with real-world creative sensibilities, are brand-safe, and better aligned with human intent.