Data Hidden Worries in the Smart Boom and Countermeasures

Mindeng Huang, Feng Yu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Data, as a key element of intelligent applications, is the basis for promoting the transformation of intelligent applications from low-quality to high-efficiency, and plays a crucial role. However, from the perspective of specific practice, data collection, data collection, data algorithm model development and other aspects of the current intelligent boom are characterized by fuzzy specifications, lack of standards, value shift and other issues, which may result in systematic application risks. Therefore, we should adhere to the compliance thinking, comprehensive norms, standards and other latitude, and scientifically build a reliable mechanism for the orderly operation of intelligent data.

Original languageEnglish
Title of host publicationProceedings - 2023 International Conference on Artificial Intelligence and Automation Control, AIAC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages217-221
Number of pages5
ISBN (Electronic)9798350383805
DOIs
Publication statusPublished - 2023
Event2023 International Conference on Artificial Intelligence and Automation Control, AIAC 2023 - Virtual, Online, China
Duration: 17 Nov 202319 Nov 2023

Publication series

NameProceedings - 2023 International Conference on Artificial Intelligence and Automation Control, AIAC 2023

Conference

Conference2023 International Conference on Artificial Intelligence and Automation Control, AIAC 2023
Country/TerritoryChina
CityVirtual, Online
Period17/11/2319/11/23

Keywords

  • compliance
  • data
  • formatting
  • intelligence

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