Unbiased unveils plan to launch data marketplace to combat flawed AI

Unbiased, a startup based in Göteborg, Sweden, has set a March 6 launch date for its new Data Marketplace that uses a combination of crowdsourcing, blockchain, and artificial intelligence (AI) to enable transparent collection of trustworthy data.

All these features will run on the Telos blockchain, with an eye toward solving a major problem for the AI community: Their data sources are riddled with bias.

“AI and machine learning have the potential to shape industries like healthcare, mobility, insurance, and more. 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 enable these industries to build meaningful AI applications.”

Unbiased’s first offering, the Data Marketplace, will offer a comprehensive solution comprising 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 crowdsourcing, 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.
• 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.

Founded in late 2018, Unbiased is currently a seed-stage, pre-revenue startup looking for venture capital. Through its solutions, Unbiased aims to contribute towards innovation and the betterment of societies.

In addition to its Data Marketplace, the company’s future plans include a wide range of services, including real-time data collection, annotation, labeling, and analytics. So stay tuned!