Methods for reliable AI/ML based positioning

A wireless transmit/receive unit (WTRU) comprising a processor and memory, the processor and memory configured to:

• receive, from a server associated with a trained artificial intelligence/machine leaning (AI/ML) model, a first association information, wherein the first association information comprises a first set of positioning reference signal (PRS) configurations on which the AI/ML model has been trained;
• receive, from a network entity, a request for one or more inferences related to a location of the WTRU via the AI/ML model;
• send, to the network entity, a request for a second association information;
• receive the second association information, wherein the second association information comprises a second set of PRS configurations;
• determine, by comparing the first and the second association information, the consistency between the first and the second association information based on a number of PRS configurations of the first set of PRS configurations overlapping with a number of PRS configurations of the second set of PRS configurations;
• implement, based on the determined consistency between the first and the second association information, the trained AI/ML model to generate one or more inferences related to the location of the WTRU;
• determine a feedback value based on the one or more inferences related to the location of the WTRU;
• and
• send a report, wherein the report comprises the feedback value.