AI-Enabled Services for Reconnaissance

Refiz Duro, Rainer Simon, Christoph Singewald

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

Abstract

Climate change, pandemics and unstable geopolitical and economic circumstances on the global level are complex challenges necessitating approaches leveraging technological advances and human cross-domain expertise and experience. One piece of the puzzle addressing these challenges is to provide efficient services assisting decision and policy makers with insights extracted from the available data. Combining AI-based natural language processing and computer vision services with human-centred annotation and information enrichment service to build knowledge graphs for reconnaissance has a prospect to make a difference in the safety and security domain. But what does such an implementation look like, and shouldn’t such services already be integrated into most decision-making processes?
OriginalspracheEnglisch
Seiten (von - bis)32-33
Seitenumfang2
FachzeitschriftERCIM NEWS- European Research Consortium for Informatics and Mathematics
Issue132
PublikationsstatusVeröffentlicht - 5 Jan. 2023

Research Field

  • Ehemaliges Research Field - Societal Resilience & Security
  • Ehemaliges Research Field - Data Science

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