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ODD-ML addresses the challenges of deploying machine learning models in varying contexts. By centering human expertise in the design process, the project aims to enhance model adaptability and improve decision-making across research and development domains.
ODD-ML addresses the open secret of machine learning (ML), which is that model deployment often fails.
The problem arises because deployment contexts may differ from the data used to train ML models in unexpected ways.
In an increasingly data-driven era, this severely impedes progress in ML-powered R&D and our ability to tackle societal grand challenges with existing ML tools.To solve this pervasive issue, I propose a radical alternative to current ML approaches, placing human experts at the cor…
AALTO KORKEAKOULUSAATIO SR
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