June 10, 2025 — Austrian artificial knowledge agency MOSTLY AI has launched a $100,000 prize problem to lift consciousness of how artificial knowledge can be utilized to create open-access datasets for companies, AI builders and different organizations. The corporate mentioned that is the most important prize for a hackathon-style artificial knowledge growth problem.
Entrants shall be tasked with creating an correct and privacy-safe artificial dataset from an actual dataset. Submitted datasets shall be scored and ranked primarily based on their accuracy to the actual dataset, the extent of the anonymization, their answer’s compute effectivity, its ease of use, and its generalizability for different datasets.
The MOSTLY AI Prize goals to place artificial knowledge as a accountable and accessible useful resource for open-source AI innovation. It comes at a time when AI builders and enterprises alike are more and more in search of high-quality knowledge to coach, refine, and run AI fashions.
AI is extremely data-hungry, however privateness rules put strict limitations on knowledge sharing. This has fueled demand for open-access artificial knowledge options that may mimic actual knowledge whereas anonymizing it, permitting for frictionless motion of knowledge for AI coaching and growth.
The MOSTLY AI Prize goals to place artificial knowledge technology on the coronary heart of the AI dialog – growing consciousness of its use instances and supporting open knowledge sharing as a protected, scalable answer for innovation and analysis. Submissions for the prize shut on Thursday 3 July, with winners introduced on 9 July.
The Prize consists of two unbiased artificial knowledge challenges: the Flat Knowledge Problem and the Sequential Knowledge Problem.
Flat Knowledge is knowledge saved in a easy desk format, the place every column represents a distinct kind of knowledge. For instance, an inventory of sufferers with every column protecting monitor of their age, gender, and top. Sequential knowledge entails knowledge that happens in a selected order, capturing how issues change over time, such because the every day worth of a inventory over the previous yr or longitudinal well being information.
The launch of The MOSTLY AI Prize follows sizzling on the heels of the agency’s launch of the world’s first industry-grade open-source toolkit for the creation of privacy-safe artificial knowledge. Entrants are welcome to make use of the MOSTLY AI toolkit to finish the problem, however this isn’t a requirement.
MOSTLY AI raised $25 million in a Collection B funding spherical in 2022, and $31 million since its launch. The agency’s world shoppers embrace Citi Financial institution, the U.S. Division of Homeland Safety, Erste Group, Telefonica, and two of the 5 largest U.S. banks.
Alexandra Ebert, Chief AI and Knowledge Democratization Officer at MOSTLY AI, mentioned: “The demand for privacy-safe knowledge has by no means been increased. AI builders, companies, and organizations of all sizes are all clambering for entry to knowledge as they give the impression of being to coach, tune, and deploy AI – and so they’re turning to artificial knowledge as the answer.
“The MOSTLY AI Prize is all about placing artificial knowledge entrance and heart. We wish folks to know how it may be used and place open knowledge sharing as a protected and accessible possibility for researchers, innovators, and builders.
We’re nonetheless on the beginning line of what AI can obtain. Open knowledge entry is essential to unlocking its full potential – however attaining that may require the broader adoption of artificial knowledge instruments.
“The MOSTLY AI Prize is a call-to-action for anybody with an curiosity in knowledge and AI. We wish as many individuals as doable to get entangled, to not solely foster innovation however to extend the accessibility of artificial knowledge technology.”
