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US 2024/0195701 A1Published application
Framework for trustworthiness
AssigneeNokia Technologies Oy
InventorsTejas SUBRAMANYA, Janne ALI-TOLPPA, Henning SANNECK, Laurent CIAVAGLIA
Life of this patent
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Abstract
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.
Claims17
Apparatus comprising:
- one or more processors, and
- memory storing instructions that, when executed by the one or more processors, cause the apparatus to perform:
- receiving an intent of a service;
- translating the intent into a trust level requirement for an artificial intelligence pipeline related to the service;
- providing the trust level requirement to a artificial intelligence trust engine related to the artificial intelligence pipeline.
2 more elements
Apparatus comprising:
- one or more processors, and
- memory storing instructions that, when executed by the one or more processors, cause the apparatus to perform:
- 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.
2 more elements
Apparatus comprising:
- one or more processors, and
- memory storing instructions that, when executed by the one or more processors, cause the apparatus to perform:
- receiving, from a trust engine, 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 a service;
- mapping the received requirement for the at least one of the fairness, the explainability, and the robustness on at least one of a specific requirement for a data source manager of the artificial intelligence pipeline related to the service, a specific requirement for a training manager of the artificial intelligence pipeline related to the service, and a specific requirement for an inference manager of the artificial intelligence pipeline related to the service;
- providing the specific requirement for the data source manager to the data source manager and obtaining an actual value of the at least one of the fairness, the explainability, and the robustness from the data source manager if the received requirement is mapped to the specific requirement for the data source manager;
- providing the specific requirement for the training manager to the training manager and obtaining an actual value of the at least one of the fairness, the explainability, and the robustness from the training manager if the received requirement is mapped to the specific requirement for the training manager;
- providing the specific requirement for the inference manager to the inference manager and obtaining an actual value of the at least one of the fairness, the explainability, and the robustness from the inference manager if the received requirement is mapped to the specific requirement for the inference manager;
- comparing at least one of the received actual values with the corresponding requirement;
- issuing an error notice if the at least one of the actual values does not fulfill the corresponding requirement.
6 more elements
17-34. (canceled)
Dependencies are inferred from the claim text.