Causal Bayesian Networks: A flexible tool to enable fairer machine learning October 3, 2019 by admin Deepmind Decisions based on machine learning (ML) are potentially advantageous over human decisions, but the data used to train them often contains human and societal biases that can lead to harmful decisions.Read More Previous Post Amazon Releases New Public Data Set to Help Address “Cocktail Party” Problem Next Post Searchable Ground Truth: Querying Uncommon Scenarios in Self-Driving Car Development