Human Native AI, a London-based startup, is aiming to revolutionize the way AI companies acquire data to train their AI models. The company has brought on board former Google executives and legal experts to facilitate deals between AI companies and data sellers.
In the past, AI companies have been scraping data from the public internet without much regard for copyright issues. However, with the rise of lawsuits against AI companies for copyright violations, the landscape is changing. The new EU AI Act also mandates companies to disclose if they have trained AI models on copyrighted material, further emphasizing the need for legal data acquisition.
To address these challenges, Human Native AI has created a digital marketplace where AI companies can easily connect with data sellers and strike deals using standardized legal contracts. The startup recently raised a $3.6 million seed round to kickstart its vision.
While Human Native is not the only company offering data brokering services, it aims to differentiate itself by providing tools to help customers clean up datasets and implement data governance policies. The company plans to generate revenue by taking a commission on transactions and offering additional services to its customers.
The success of Human Native hinges on building a critical mass of buyers and sellers on its platform and creating standardized contract terms. The recent hiring of experts in digital partnerships and IP law underscores the startup’s commitment to establishing norms and best practices in data licensing for AI.
Overall, Human Native’s vision for an AI-focused data marketplace holds promise in addressing the ethical and legal challenges surrounding data acquisition for AI models. By providing a seamless platform for data transactions, the startup aims to streamline the process for AI companies while ensuring data sellers are fairly compensated for their valuable information.
