Unbiased launches marketplace for AI transparency on Telos blockchain

AI and Machine Learning company unbiased has launched a data marketplace on the well-regarded Telos blockchain

Award-winning Swedish Start-up, Unbiased, has announced the launch of its Data Marketplace on the Telos blockchain.

Unbiased was designed to solve current challenges faced by AI and Machine Learning, including transparency and bias.

The Unbiased Data Marketplace provides privacy-centric and decentralised development tools to companies working with AI and Machine Learning applications, including data collection, annotation, labeling and analytics; all with blockchain certificates.

“Unbiased uses the Telos blockchain to improve transparency and integrity, allowing users to trust and validate whether their dataset annotations are happening according to set requirements,” said Sukesh Tedla, Founder and CEO of Unbiased. “In addition to the obvious draw of Telos’ powerful governance tools and low operational costs, we share a mission with Telos to build a new global economy focused on decentralization and trust.”

The global AI market is projected to reach $266 billion by 2027. According to IDC, worldwide spending on AI is expected to double in four years, reaching $110 billion in 2024.

The increase in adoption of AI has led to concerns over privacy, fairness, and transparency. Entities as powerful as the European Union are researching the far-reaching impacts of AI and how to best address it.

“Intersections are always where the most interesting and vibrant developments occur and the intersections of blockchain, and AI and machine learning will be a great example of this. Unbiased will show these industries how recording data on a high performance, no-fee blockchain like Telos can add transparency, immutability, micropayments and governance into their products for the benefit of all stakeholders,” said Douglas Horn, Chief Architect of the Telos Blockchain.

“Perhaps the most immediate benefit will be the ability for individuals to earn incomes by better supplying, preparing and validating AI data sets, greatly increasing their value to industry and creating a new option for earning money during these challenging economic times.”

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