What must a synthetic image achieve to behave like cinema? AI Cinematic Realism (AICR), presented whole for working AI filmmakers: the Ideational Frame, the three strata, a century of craft translated into the latent space, conscious assembly, the maker as moral agent, and the forty-point rubric.
AI Cinematic Realism (Second Edition): A Reader’s Map to the Book
AI Cinematic Realism reframes synthetic video beyond “looks real” or “deepfake” anxiety, asking instead whether an AI image feels true: coherent, intentional, ethical, and emotionally plausible. This reader’s map condenses the book’s framework, craft grammar, rubric, and pedagogy into a practical guide for makers, critics, and educators.
Intentional Seeing: AI Cinematic Realism as a Pedagogy for the Post-Camera Era
AI Cinematic Realism began as a way to evaluate synthetic cinema. But its three strata describe something larger: a pedagogy of intentional seeing that trains the very faculties — attention, coherence, and authorship — that generative AI puts at risk of atrophy.
Pattern Generation Is Not Creativity: What Film Education Teaches Us About Student Authorship in an AI Age
AI can generate the surface appearance of creativity, but not the lived experience that makes creative work meaningful. When students let the machine lead, the artifact may exist — but the authorship disappears. Education must design for decisions, not outputs, ensuring the student remains the originating intelligence behind the work.
AI Cinematic Realism (AICR): Field Guide
AI Cinematic Realism argues that believable AI‑generated cinema emerges from the interaction of three strata—Perceptual, Environmental, and Authorial. The field guide outlines how visual stability, world coherence, and intentional meaning work together to resolve today’s realism crisis and shape a new cinematic literacy for the post‑photographic era.