Highlights:
- AI certification program verifies systems are fairly trained
- Fairly Trained adds a label to companies that prove they asked for permission to use copyrighted training data
- Founder of Fairly Trained, Ed Newton-Rex, quit Stability AI due to concerns about generative AI exploiting creators
- Fairly Trained’s first accreditation, the Licensed Model certification, will be awarded to companies that license protected data to train their models
A new AI certification program called Fairly Trained has emerged, aiming to verify that AI systems are fairly trained and do not violate copyright laws. The program, founded by Ed Newton-Rex, a former vice president for audio at Stability AI, adds a label to companies that prove they have obtained permission to use copyrighted training data. Newton-Rex started Fairly Trained after leaving Stability AI due to concerns about generative AI exploiting creators.
Concerns About AI and Copyright Violation
Generative AI, which involves algorithms creating new content, has sparked concerns about copyright violation. As AI systems are trained on vast amounts of data, there is a possibility that copyrighted material may be included in the training sets. This raises questions about the ethical use of AI and the rights of creators. Fairly Trained aims to address these concerns by certifying that companies have obtained permission to use copyrighted training data, ensuring that AI systems are fairly trained and do not infringe on copyright laws.
The emergence of Fairly Trained highlights the growing need for certification programs in the AI industry. With the increasing use of AI in various domains, it is crucial to ensure that AI systems are developed and trained ethically. Certification programs like Fairly Trained provide a solution by verifying that AI companies are following ethical practices and respecting copyright laws.
Fairly Trained’s Licensed Model Certification
Fairly Trained’s first accreditation, the Licensed Model certification, is awarded to companies that license protected data to train their AI models. This certification signifies that the company has obtained permission to use copyrighted training data and is utilizing it in a fair and legal manner. By displaying the Fairly Trained label, companies can demonstrate their commitment to ethical AI practices and distinguish themselves as responsible AI providers.
The Licensed Model certification not only benefits AI companies but also creators whose copyrighted material is used in AI training. By requiring companies to obtain permission and license protected data, Fairly Trained ensures that creators’ rights are respected and that they are appropriately compensated for their work. This certification program aims to strike a balance between AI development and creators’ rights, fostering a fair and sustainable AI ecosystem.
A Response to Exploitative AI Practices
Ed Newton-Rex’s decision to start Fairly Trained was influenced by his concerns about generative AI exploiting creators. As a former vice president for audio at Stability AI, Newton-Rex witnessed firsthand the potential for AI systems to infringe on creators’ rights. In November, he left Stability AI, citing the exploitation of creators by generative AI as the reason for his departure.
Fairly Trained is a response to the need for ethical AI practices and a commitment to protect creators’ rights. By providing a certification program, Fairly Trained aims to ensure that AI companies are accountable for their use of copyrighted training data and that creators are not taken advantage of in the development of AI systems.
Conclusion: Certifying Ethical AI Systems and Protecting Copyrights
The emergence of Fairly Trained’s AI certification program highlights the growing concerns about AI and copyright violation. As AI systems become more prevalent in various industries, it is crucial to address the ethical use of AI and protect the rights of creators. Fairly Trained’s certification program, starting with the Licensed Model certification, provides a solution by verifying that AI companies have obtained permission to use copyrighted training data. This certification program not only benefits AI companies but also creators, ensuring that their rights are respected and that they are appropriately compensated for their work.
The founding of Fairly Trained by Ed Newton-Rex, a former vice president for audio at Stability AI, reflects a growing awareness of the potential for AI systems to exploit creators. By leaving Stability AI and starting Fairly Trained, Newton-Rex demonstrates his commitment to ethical AI practices and his dedication to protecting creators’ rights.
In conclusion, the Fairly Trained certification program is a step towards fostering a fair and sustainable AI ecosystem. By verifying that AI systems are fairly trained and do not violate copyright laws, Fairly Trained ensures that AI companies are held accountable for their use of copyrighted training data. This certification program sets a standard for ethical AI practices and promotes the responsible development of AI systems.
