AI Cinematic Realism explores how artificial intelligence is reshaping the very foundations of cinematic realism. From Kracauer and Bazin’s indexical image to today’s generative platforms like Sora, Runway, Gemini, and MidJourney, this article argues for a new interdisciplinary field bridging film studies, philosophy, ethics, and media practice. It calls for collaboration to understand realism in an era where the real and the synthetic intertwine.
Manifesto of AI Cinematic Realism
AI cinematic realism marks a shift from captured images to constructed meaning. In a world where cinema emerges from prompts and patterns, realism becomes emotional rather than optical. This manifesto outlines eight principles for understanding how AI reshapes presence, authorship, and the felt experience of the real.
AI Cinematic Realism and the Shift from Captured to Constructed Media
AI is reshaping cinematic realism by breaking the link between images and the physical world. As cinematography shifts from captured light to generated probability, our sense of authenticity, authorship, and trust is being redefined across film, television, and digital platforms. Realism isn’t vanishing—it’s being reassembled.
AI Cinematic Realism: On the Aesthetics of an AI-Generated World
AI cinematic realism isn’t just about photorealistic images—it’s about how synthetic scenes make us feel, think, and respond. As AI reshapes the idea of presence, emotion, and authenticity on screen, we’re pushed to reconsider what “realism” means when the camera is gone and only imagination remains.
Gutierrez & Lethcoe’s AI Essentials in Education (AI-Ed): Responsible AI Literacy Course for a Human-Centered Future
Developed by Gutierrez & Lethcoe for Washington’s community and technical colleges, AI Essentials in Education (AI-Ed) is a statewide Canvas course that helps faculty and staff use AI tools responsibly through five modules on ethics, collaboration, and human-centered innovation.
The AEIOU Ethos: Five Principles for Responsible AI in Higher Education
Artificial intelligence is transforming higher education — but responsible innovation requires more than new tools. The AEIOU Ethos outlines five practical principles for designing and governing AI with accessibility, equity, inclusion, openness, and universality at its core.