Data is the backbone of AI. Modern algorithms rely on large amounts of carefully annotated data to advance the state-of-the-art in many applications and assist humans in solving real-life problems. Thus, performance of the AI algorithms rely heavily on the quality of data used to train these algorithms.
Our initiative aims at scrutinizing the data collection practices with the goal of addressing the challenges facilitating the development of AI. For this, we bring together the research and industry communities and offer a platform to interact, collaborate and advance the expertise in crowdsourcing and related areas.
Meet our team
data enthusiasts from different universities and companies across the world
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