Our coalition is a united front of companies, associations, and individuals advocating for the responsible use of digital content in AI training.
The AI Coalition for Data Integrity advocates for transparency, attribution, and fair compensation in AI data usage. We work to protect digital content from unauthorized copying and scraping, ensuring ethical and legal standards are upheld in AI training practices. Join us in establishing a fair framework for the responsible use of data.
GAI companies should be transparent about the content and material used to train their systems.
GAI outputs should include attributions or sourcing of original answers subject to non-hallucinations.
GAI companies should compensate creators for content they profit from. Copyright should be opt-in, while other content should be opt-out.
The Coalition is engaged on the state level and federally in the United States, and globally in the United Kingdom, European Union, Canada, Australia, Japan, and others.
Collectively, the Coalition will advocate before legislative and regulatory bodies on:
Ensuring protection for only authorized uses of others’ data
Requiring government-funded GAI tools to use models with disclosed training data, transparency, credit, and remuneration
Assisting in the creation of licensing markets and licensing terms, when desirable
Creating and implementing standardized technological tools to prevent unauthorized and unlicensed data scraping and ingestion
Stay informed with the latest updates and expert insights on data integrity in AI.
Explore membership opportunities with the AI Coalition for Data Integrity. Contact us to learn how you can contribute to our mission of protecting digital content and ensuring ethical AI practices.
