Hevolve AI: Self-Evolving Multimodal AI Agents

Turn your domain expertise into AI agents that keep learning. Hevolve AI lets experts build multimodal AI systems by talking to them and correcting them in real time, with no code to write.

Key Features

Quick Links

© 2024 Hevolve AI Pvt Ltd. All rights reserved.

← All research
Artificial Intelligence
arXiv (cs.AI) · July 16, 2026

Man, Machine, and Masterpiece: Artistic Ownership in the AI Era

Sofi Gjing Jovanovska, Kuntal Ghosh, Daniel Muhu Njenga +2 more

When a human and an AI both had a hand in a picture, who owns it, and in what proportion? This paper deliberately refuses to answer that. Instead it builds ArtSplit, a provocative prototype (a provotype) that literally tallies human versus AI contribution at each stage of making a work, then watches how artists react to the very idea of being scored that way.

The reaction, and the paper's argument, is skeptical. Quantifying contribution, the authors contend, misreads what artists mean by intent and agency, and trying to measure ownership can erode the assumptions that let artists understand their own practice in the first place. The real target is the reflex to convert a messy, socially situated relationship into a clean technical metric.

This is a critical, qualitative piece rather than a proposed system, so the paper is where the artists' responses and the full argument live.

From the arXiv (cs.AI) abstract

The integration of AI-driven systems in creative work has sparked debates among artists and legal communities about notions of ownership. Yet there remains little consensus on how ownership should be defined and attributed when human and AI contributions are intertwined. To provoke critical reflection on these tensions, we designed ArtSplit, a provotype that explicitly quantifies human and AI contributions across different stages of creative work. Rather than aiming to…


More Artificial Intelligence papers