The artificial intelligence community has a problem; their data sources are riddled with bias.

“We live in an era of AI, and data requirements are increasing rapidly. AI & Machine Learning have the potential to shape industries like Healthcare, Mobility, Insurance, etc. Because of this, there is a significant rise in concerns about the ethical implications of AI and inherent bias, as these applications are used in life-threatening scenarios,” said Sukesh Kumar Tedla, Unbiased founder and CEO. “We decided to build a transparent platform that ethically meets the data needs of the AI industry to address what we see as the AI industry’s current shortcomings.”

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Unbiased has been designed to be privacy-focused, transparent, and easy to use. Their first offering, the Data Marketplace, offers a comprehensive solution made up of three distinct layers:

Data Collection: The Unbiased platform offers a range of real-time data collection services for text, image, audio, and video. The power of crowd-sourcing, user rewards, and transparency are leveraged to populate the data sets.

Data Annotation & Labeling: This service helps researchers and enterprises create structured and clean data. The platform supports different types of annotation and labeling projects, allowing for numerous use-cases.

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Data Sharing: The Unbiased platform allows users to share their data in exchange for an incentive. The whole process is transparent and can be audited on the Telos blockchain.