AI Cinematic Realism (AICR) is a framework that redefines cinematic truth in the age of generative AI — shifting the central question from "is this real?" to "is this true?" It covers the theory, practice, and ethics of synthetic cinema as a new, honest artistic medium.
Emotional Plausibility and the Synthetic Image: Toward an AI Cinematic Realism
A new framework for understanding realism in the age of AI. This article argues that cinematic realism no longer depends on photographic truth but on emotional plausibility—how images feel, cohere, and resonate. It redefines realism through cognition, atmosphere, and human–AI co‑authorship.
Not a Prompt Typist — an excerpt from AI Cinematic Realism
This essay argues that AI Cinematic Realism is a genre defined by intention, responsibility, and ethical authorship—not automation. Rejecting the myth of the “prompt typist,” it frames the AI creator as a moral agent accountable for meaning, representation, and emotional plausibility in synthetic cinema.
Truth in the Age of Synthesis — an excerpt from AI Cinematic Realism
This essay examines how AI-generated realism reshapes ethics, trust, and responsibility. It explores asymmetrical knowledge, synthetic performers, labor rights, and cultural memory, arguing that in an age where images can feel real without being recorded, realism must be understood as an ethical practice—not just an aesthetic one.
A New Language — an excerpt from AI Cinematic Realism
This essay argues that AI Cinematic Realism introduces a new language for the moving image—one grounded in presence, affect, and authorship rather than photographic proof. It calls for cross-disciplinary collaboration to shape ethical, expressive cinema beyond deception and forensic realism.