TMCnet News
Modern Hire Announces Results of Third Annual SIOP Machine Learning CompetitionCLEVELAND and DELAFIELD, Wis., June 15, 2021 /PRNewswire/ -- Modern Hire, a science-based hiring platform that enables organizations to continuously improve hiring experiences and outcomes with trusted science and technology, today revealed the winners of the third annual Society for Industrial and Organizational Psychology (SIOP) Machine Learning Competition, along with the data and the code for the winning solutions.
Engineered and designed by Nick Koenig, Ph.D. and Isaac Thompson, Ph.D., Principal Data Scientists at Modern Hire, the SIOP Machine Learning Competition enables participants to transform hiring for the better. Exclusively sponsored by Modern Hire since its inception, the goal of this year's competition was to leverage the latest innovations in artificial intelligence to develop an algorithm that predicts employee performance and encourages diversity of qualified candidates. Using a massive open data set from a Fortune 100 company, participants were given the real-world challenge that is extremely critical in today's hiring environment. "Getting access to such a rich real-world data set of pre-employment and post-employment data set a strong foundation for this year's competition. We are not only open-sourcing the data, which creates an organic and evolving benchmark for innovation of the most fair and valid methods, but also the winning teams' solutions," said Thompson. "The interesting results spur a novel yet informed conversation around approaches to fairness that have maybe not been considered or should be reconsidered." More than 200 teams from across industry and academia entered and submitted over 1,500 model to this year's 2021 SIOP Machine Learning Competition. Approximately 600 individuals participated, 60% for whom it was their first ever machine learning competition. The winners of the 2021 competition, which were announced during the SIOP Annual Conference in April, are:
The competition was hosted on EvalAI, an open-source AI challenge platform. Since all algorithms were written in open source and fully reproducible code, any company will be able to leverage the created algorithms to make more fair and accurate hiring decisions. All algorithms and data have been made available openly on GitHub and can be accessed here. Similarly, a recording of the presentation can be found on SIOP's official YouTube channel. For more information on Modern Hire's award-winning, science-based enterprise hiring platform, please visit: https://modernhire.com/platform/. About Modern Hire Contact:
SOURCE Modern Hire 
|
View original content to download multimedia: