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 biggest prize for a hackathon-style artificial knowledge growth problem.
Entrants can be tasked with creating an correct and privacy-safe artificial dataset from an actual dataset. Submitted datasets can be scored and ranked primarily based on their accuracy to the actual dataset, the extent of the anonymization, their resolution’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 looking for high-quality knowledge to coach, refine, and run AI fashions.
AI is extremely data-hungry, however privateness laws put strict obstacles 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 resolution for innovation and analysis. Submissions for the prize shut on Thursday 3 July, with winners introduced on 9 July.
The Prize consists of two impartial artificial knowledge challenges: the Flat Information Problem and the Sequential Information Problem.
Flat Information is knowledge saved in a easy desk format, the place every column represents a unique sort of data. For instance, a listing of sufferers with every column conserving observe of their age, gender, and peak. Sequential knowledge includes knowledge that happens in a particular order, capturing how issues change over time, such because the each day worth of a inventory over the previous yr or longitudinal well being data.
The launch of The MOSTLY AI Prize follows scorching 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 Sequence 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 Information 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 appear to coach, tune, and deploy AI – they usually’re turning to artificial knowledge as the answer.
“The MOSTLY AI Prize is all about placing artificial knowledge entrance and heart. We wish individuals to know how it may be used and place open knowledge sharing as a protected and accessible choice for researchers, innovators, and builders.
We’re nonetheless on the beginning line of what AI can obtain. Open knowledge entry is vital to unlocking its full potential – however reaching that can 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 potential to become involved, to not solely foster innovation however to extend the accessibility of artificial knowledge technology.”
