AI Dataset Licensing Companies Form Trade Group to Promote Ethical Data Sourcing

Seven companies specializing in content-licensing for AI training have formed the Dataset Providers Alliance (DPA), aiming to advocate for ethical data sourcing practices. The founding members include Rightsify, vAIsual, Pixta, and Datarade, representing various sectors such as music, image, and video licensing.

Ethical Data Sourcing and Intellectual Property Protection

The DPA will focus on ensuring rights for individuals depicted in datasets and protecting the intellectual property of content owners. This move comes amid increasing concerns from content creators about unauthorized use of their works to train AI systems, leading to several copyright lawsuits against major tech companies.

Responding to Legal and Regulatory Challenges

Tech companies have often used publicly available data without consent, arguing its legality. However, they are now also paying for private data collections to mitigate legal risks. The DPA’s formation indicates a shift towards more regulated and ethical practices, emphasizing the need for transparent data sourcing.

Legislation and Advocacy

The DPA will push for legislation like the NO FAKES Act, which aims to penalize unauthorized digital replicas of people’s voices or likenesses. Alex Bestall, CEO of Rightsify, highlights that advocacy will play a crucial role in resolving ongoing disputes related to AI and copyright.

Transparency and Fair Compensation

The alliance also supports transparency in training data and advocates for more detailed disclosure requirements, as seen in the European Union’s AI Act and similar U.S. legislation. The goal is to create a framework that balances the costs incurred by AI developers with fair compensation for rights holders.

Hybrid Licensing Models

Hybrid licensing models, combining upfront payments with revenue sharing, are proposed as a solution. This approach ensures that rights holders receive compensation while allowing AI developers to access high-quality data. This model has already seen success in the music industry, where companies have licensed music catalogs for AI training.

Future Directions

As AI technology advances, it is crucial for rights holders to proactively engage in licensing agreements. This will help shape the future of AI data licensing, ensuring that interests of content creators are protected and that AI systems are developed ethically and responsibly.

Overall, the DPA’s formation marks a significant step towards ethical AI data usage, aiming to balance the needs of AI developers with the rights of content creators.