Documento :

UIT-T�SG17� (Periodo de estudios 2022)� Contribuci�n� 625

T�tulo :

Proposal for new Technical Report on TR.emm-tfm: Evaluation methods and metrics for trustworthiness of AI foundation models

Recibido en :

2024-02-07

Origen :

China Telecommunications Corporation , China Unicom , Korea (Rep. of) , Soonchunhyang University (Korea (Rep. of)) , State Grid Corporation of China

AI/Cuesti�n :

Q15/17

Reuni�n :

2024-02-20

Disponibilidad :

Restringido a usuarios de TIES�[UIT-T]