AI Competitions and Benchmarks: The life cycle of challenges and benchmarks
Stolovitzky, Gustavo, Saez-Rodriguez, Julio, Bletz, Julie, Albrecht, Jacob, Andreoletti, Gaia, Costello, James C., Boutros, Paul
–arXiv.org Artificial Intelligence
Data Science research is undergoing a revolution fueled by the transformative power of technology, the Internet, and an ever-increasing computational capacity. The rate at which sophisticated algorithms can be developed is unprecedented, yet they remain outpaced by the massive amounts of data that are increasingly available to researchers. Here we argue for the need to creatively leverage the scientific research and algorithm development community as an axis of robust innovation. Engaging these communities in the scientific discovery enterprise by critical assessments, community experiments, and/or crowdsourcing will multiply oppor-DREAM Challenges e-mail: gustavo.stolo@gmail.com Coordinated community engagement in the analysis of highly complex and massive data has emerged as one approach to find robust methodologies that best address these challenges. When community engagement is done in the form of competitions -- also known as challenges -- the validation of the analytical methodology is inherently addressed, establishing performance benchmarks. Finally, challenges foster open innovation across multiple disciplines to create communities that collaborate directly or indirectly to address significant scientific gaps. Together, participants can solve important problems as varied as health research, climate change, and social equity. Ultimately, challenges can catalyze and accelerate the synthesis of complex data into knowledge or actionable information, and should be viewed a powerful tool to make lasting social and research contributions. The idea of leveraging a community of experts and non-experts to solve a scientific problem has been around for hundreds of years. One early example is the 1714 British Board of Longitude Prize, which was to be awarded to the person who could solve arguably the most important technological problem of the time: to determine a ship's longitude at sea [2]. After eluding many established scientists of the time, the prize was awarded to John Harrison for his invention of the marine chronometer.
arXiv.org Artificial Intelligence
Dec-8-2023
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