body { overflow: auto; padding: 24px; font-family: var(--art-font-sans); } .crawler-content { max-width: 1200px; margin: 0 auto; } .crawler-content nav { display: flex; flex-wrap: wrap; gap: 16px; margin-bottom: 48px; } .crawler-content section { margin: 48px 0; } .crawler-content article { margin: 32px 0; } .crawler-content img { display: block; width: min(100%, 720px); height: auto; }

Artist and open-source AI engineer

Mingde "MT" Zeng

Mingde "MT" Zeng is a Chinese-Canadian artist and open-source AI engineer based in Toronto. His current practice centres on AI and agentic systems, spanning generative imagery, interactive environments, installation, sound, and moving image. He brings technical experimentation and personal experience into his work, exploring the artistic possibilities of systems that can generate material, interpret it, and participate in its further development.

Writing

Authorship in Generative Image Art: A Perspective from Distributed Cognition and Agent Harnesses

2026 · Chinese Photography, November 2026

Generative images increasingly take shape through workflows involving models, tools, platforms, and multiple collaborators; a particular output may be only one stage in an ongoing process. Drawing on distributed cognition and the concept of the agent harness, this paper examines five cases to locate how creators intervene in the formation of works. It asks who arranges the conditions under which images are generated, revised, and displayed, and what responsibility creators bear for the consequences. In the context of photography theory, it shifts the question of authorship beyond attribution of a single image.

Semanticization of Photography

2026 · Chinese Photography, June 2026

Photographic images are pre-labeled, embedded, and summarized within platform circulation and multimodal AI pipelines.