SOURCE-LINKED INTELLIGENCE

RRR-XAI: Right for the Right Reason eXplainable Artificial Intelligence

CORDIS · observation · Publication date unknown

RRR-XAI: Right for the Right Reason eXplainable Artificial Intelligence Deep Deep Learning (DL) is a form of machine learning (ML) that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. This hierarchy allows a DL model to learn complicated concepts by building them out of simpler ones. A graph of these hierarchies would be many layers deep, and thus its name. A Deep neural network (DNN) is based on an artificial neural network model, and its core strength is that there is no need for human assistance to formally specify all the knowledge that the model needs. This makes DNNs represent the state of the art in Artificial Intelligence (AI). Despite their top performance and ubiquity of applications (from Healthcare to autonomous cars), DNNs suffer serious shortcomings. First, DNNs are considered black box models, i.e., with complex and opaque algorithms, hard to interpret and diagnos

Read original source ↗ Open in workspace

recordType

award

status

TERMINATED

region

EU

value

165312.96

unit

EUR