Nokia Technologies Oy

Tejas Subramanya

Henning Sanneck

Borislava Gajic

Janne Ali-Tolppa

Sina Khatibi

Fabio Giust

Laurent Ciavaglia

Method comprising: receiving a trust level requirement for a service; translating the trust level requirement into a requirement for at least one of a fairness, an explainability, and a robustness of a calculation performed by an artificial intelligence pipeline related to the service; providing the requirement for the at least one of the fairness, the explainability, and the robustness to a trust manager of the artificial intelligence pipeline.

Framework for trustworthiness

There is provided an apparatus means for, at a central node associated with a plurality of distributed nodes, determining that at least one distributed node of the plurality of distributed nodes has not provided training information relating to a training process of a machine learning model before expiry of a first timer for a given iteration of N iterations of the training process, means for generating analytic information relative to the at least one distributed node, wherein the analytic information comprises a count based on the determining and means for providing the analytic information to a storage function.

Apparatus, method and computer program

There are provided measures for trust related management of artificial intelligence or machine learning pipelines. Such measures exemplarily include, at a first network entity managing artificial intelligence or machine learning trustworthiness in a network, transmitting a first artificial intelligence or machine learning trustworthiness related message towards a second network entity managing artificial intelligence or machine learning trustworthiness in an artificial intelligence or machine learning pipeline in the network, and receiving a second artificial intelligence or machine learning trustworthiness related message from the second network entity, where the first artificial intelligence or machine learning trustworthiness related message includes at least one criterion related to an artificial intelligence or machine learning trustworthiness aspect.

Growing community of inventors

Munich, Germany

Tejas Subramanya