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Human Native AI is positioning itself as a marketplace for AI training data, akin to the New York Mercantile Exchange. The startup has recruited former Google executives and top intellectual property lawyers to facilitate data licensing deals between AI companies and data providers. This initiative comes as legal challenges against AI companies for copyright violations are increasing, prompting a shift towards ethical data sourcing.
The startup's founders recognized the difficulty AI companies face in acquiring data legally and efficiently. By creating a platform that standardizes licensing agreements, Human Native aims to streamline the process for both data sellers and AI developers. With a recent seed funding round of $3.6 million, the company is set to enhance its marketplace and support smaller publishers in monetizing their data.
• Human Native AI aims to simplify data licensing for AI companies.
• Legal challenges are pushing AI companies towards ethical data sourcing.
AI training data refers to the datasets used to train machine learning models, crucial for their performance.
Data licensing involves legal agreements that allow companies to use data owned by others for specific purposes.
LLMs are advanced AI models that process and generate human-like text based on vast datasets.
Human Native AI is developing a marketplace for AI training data, facilitating licensing agreements.
OpenAI is a leading AI research organization known for developing advanced language models like ChatGPT.
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