SOURCE-LINKED INTELLIGENCE

Counterfactuals in Minds and Machines

CORDIS · observation · Publication date unknown

n the ability that humans have to learn from limited past experience and improve their decision making skills over time. In recent years, there has been an increasing excitement on the potential of machine learning models and algorithms to support human decision making in a variety of high-stakes domains such as medicine, education or science. However, these models and algorithms have been traditionally unable to perform, nor benefit from, counterfactual reasoning. In this project, our goal is to bridge this gap. We will develop machine learning models and algorithms for automated decision support that are able to perform and benefit from counterfactual reasoning in multiple ways. For example, they will perform counterfactual reasoning about human behavior to anticipate how humans incorporate algorithmic advice into their decisions. This will enable a new generation of decision support systems that can only increase and never decrease the average quality of human decisions. Moreover, they will use the structural similarities and shared properties across different counterfactual de

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recordType

award

status

SIGNED

region

EU

value

1997500

unit

EUR