How AI models steal creative work — and what to do about it | Ed Newton-Rex
Mar 14, 2025
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Ed Newton-Rex, a generative AI expert, dives deep into the ethical dilemmas surrounding AI training on unlicensed creative work. He sheds light on how this practice undermines artists by pitting AI against original creators. Advocating for licensing solutions, he discusses the urgency of protecting intellectual property while fostering innovation. The conversation touches on the ongoing legal challenges and the need for a balanced relationship between technology and creativity, aiming for a future where both can thrive.
Generative AI relies on unlicensed creative work for training, creating an unfair competitive environment for original creators in various artistic fields.
Implementing a licensing system for AI training data could foster a mutually beneficial relationship between AI companies and creative artists, ensuring fair compensation.
Deep dives
The Dark Side of AI Training
Generative AI relies heavily on three resources: skilled engineers, powerful computational equipment, and large amounts of data for training. However, many AI companies often use unlicensed creative work to train their models, creating an unfair competitive landscape for original creators. For example, research indicated that a significant portion of large language models are trained on copyrighted materials without acquiring the necessary licenses. This practice not only undermines the copyright laws meant to protect creators but also poses a threat to the livelihoods of those artists, as generative AI directly competes with their original work.
The Impact on Creators
Creators of various artistic forms are already experiencing detrimental effects due to the unlicensed training of generative AI. For instance, after their artwork was used to train an AI image model, one artist reported a drastic income reduction of 33%. Similarly, the job platform Upwork noted an 18% decrease in demand for freelance writing tasks since generative AI tools emerged. Such trends indicate a troubling shift where AI-generated content begins to overshadow and replace human-produced creative works in the market.
A Call for Licensing Solutions
To address the challenges posed by generative AI on creators, licensing training data presents a viable solution that could establish a fairer ecosystem. This approach is not only practical, with many AI companies already engaging in licensing agreements, but it also prevents the deterioration of the online creative commons. Public sentiment largely supports the need for compensation for creators, with a substantial majority advocating for payment to data providers. Advocating for a mutual respect between AI development and creative rights could facilitate a future where generative AI and human artistry co-exist harmoniously, benefiting both industries.
Generative AI is built on three key resources: people, compute and data. While companies invest heavily in the first two, they often use unlicensed creative work as training data without permission or payment — a practice that pits AI against the very creators it relies on. AI expert Ed Newton-Rex has a solution: licensing. He unpacks the dark side of today's AI models and outlines a plan to ensure that both AI companies and creators can thrive together.