Trustworthy Level Control of AI/ML Models Trained in Wireless Networks
AssigneeApple Inc.
InventorsPing-Heng KUO, Ralf ROSSBACH, Peng CHENG
Life of this patent
Estimating the term…
Abstract
An artificial intelligence (AI) agent configure to collect a dataset for training an AI or machine learning (ML) (AI/ML) model, train the AI/ML model with the collected dataset, determine whether the trained AI/ML model is trustworthy, wherein the determining is performed by evaluating one or more metrics related to a trustworthy level for the AI/ML model trained by the AI agent and determine, based on the determining whether the trained AI/ML model is trustworthy, whether to report the trained AI/ML model to an AI manager.
Claims20
A processor of an artificial intelligence (AI) agent configured to perform operations comprising:
- collecting a dataset to train an AI or machine learning (ML) (AI/ML) model;
- training the AI/ML model with the collected dataset;
- determining whether the trained AI/ML model is trustworthy, wherein the determining is performed by evaluating one or more metrics related to a trustworthy level for the AI/ML model trained by the AI agent;
- and
- determining, based on the determining whether the trained AI/ML model is trustworthy, whether to report the trained AI/ML model to an AI manager.
A processor of an artificial intelligence (AI) agent configured to perform operations comprising:
- collecting a dataset to train an AI or machine learning (ML) (AI/ML) model;
- determining whether the collected dataset supports generating a trustworthy model by evaluating one or more metrics related to a trustworthy level for the AI/ML model to be trained by the AI agent;
- when the collected dataset supports generating the trustworthy AI/ML model, training the AI/ML model with the collected dataset or an updated dataset;
- and
- when the AI/ML model is trained, reporting the trained AI/ML model to an AI manager.
A processor of an artificial intelligence (AI) manager configured to perform operations comprising:
- providing, to at least one AI agent, an indication of one or more metrics to evaluate whether a dataset collected by the AI agent supports generating a trustworthy AI or machine learning (ML) (AI/ML) model to train an AI/ML model or whether a trained AI/ML model is trustworthy;
- and
- receiving, from the AI agent, the trained AI/ML model when the AI agent determines to report the trained AI/ML model.
(canceled)
Dependencies are inferred from the claim text.