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About this paper
Michael J Bommarito II, Jillian Bommarito, Daniel Martin Katz
The KL3M Data Project introduces a comprehensive dataset of over 132 million documents compiled exclusively from copyright-clean and permissively licensed materials, addressing legal and ethical concerns surrounding Large Language Model training data. This dataset aims to enable the development of AI models that comply with intellectual property laws.
Key insights
- Relying on positive legal rights and consent for data inclusion offers a sustainable and legally sound alternative to uncertain "fair use" arguments.
- A structured, transparent data pipeline with provenance tracking is essential for ethical and reproducible AI dataset development.
- Building AI systems within shared legal and ethical frameworks can be achieved by demonstrating the feasibility of creating large, high-quality, legally compliant datasets.
Summary by alphaXiv.
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