A good understanding of a data set is a prerequisite for its correct evaluation, e. g. in the context of…
DIN German Institute for Standardization
DIN SPEC 92005
Artificial Intelligence – Uncertainty quantification in machine learning; Text in English
This DIN SPEC has been developed within a DIN SPEC consortium. The document was developed and approved by organizations named…
DIN SPEC 92001-3
Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 3: Explainability; Text in English
This document provides a domain-independent guide to appropriate approaches and methods to promote explainability throughout all stages of an AI…
DIN SPEC 2343
Transmission of language-based data between artificial intelligences – Specification of parameters and formats
This DIN SPEC in accordance with the PAS procedure has been drawn up by a DIN SPEC (PAS)-consortium set up…
This DIN SPEC in accordance with the PAS procedure has been drawn up by a DIN SPEC (PAS)-consortium set up…
This document gives the requirements, under which image recognition problems in medicine can be addressed using a Deep Learning image…
DIN DKE SPEC 99001
Definition of a success method for labelling data for artificial intelligence training – Application focus: Question-Answering; Text in English
DIN SPEC 92001-1
Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 1: Quality Meta Model
This DIN SPEC in accordance with the PAS procedure has been drawn up by a DIN SPEC (PAS)-consortium set up…
DIN SPEC 92001-2
Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 2: Robustness
This DIN SPEC in accordance with the PAS procedure has been drawn up by a DIN SPEC (PAS)-consortium set up…
