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University Of Toronto research highlights decision-making AI could be made more accurate when judging humans

A new study from researchers at the University of Toronto and the Massachusetts Institute of Technology (MIT) is challenging conventional wisdom on human-computer interaction and reducing bias in AI.The paper, which was published this month in the jo
Tamil Nadu Schwartz Reisman Marzyeh Ghassemi Aparna Balagopalan Gillian Hadfield Davidh Yang

Study: AI models fail to reproduce human judgements about rule violations

Researchers from MIT and elsewhere have found that machine-learning models trained to mimic human decision-making often suggest harsher judgements than humans would. They found that the way data were gathered and labeled impacts how accurately a model can be trained to judge whether a rule has been violated.
Tamil Nadu Davidh Yang Aparna Balagopalan Gilliank Hadfield Marzyeh Ghassemi Dylan Hadfield Menell
Source: mit.edu

Study: AI models fail to reproduce human judg

Researchers from MIT and elsewhere have found that machine-learning models trained to mimic human decision-making often suggest harsher judgements than humans would. They found that the way data were gathered and labeled impacts how accurately a model can be trained to judge whether a rule has been violated.
Tamil Nadu Dylan Hadfield Menell Adam Zewe Aparna Balagopalan Gilliank Hadfield Marzyeh Ghassemi

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