AI-Based geospatial intelligence for illegal waste detection in the European Union opportunities and legal considerations under the AI act and data protection laws /

Illegal waste disposal remains a persistent environmental and legal challenge in the EU, contributing significantly to pollution and climate change. This article explores the potential of AIbased geospatial intelligence, such as UAV-assisted aerial monitoring, to support the detection and inspection...

Teljes leírás

Elmentve itt :
Bibliográfiai részletek
Szerzők: Georgieva Irina
Korenjak Lalovič Eva
Testületi szerző: Green and digital transition, the 7th Conference in cooperation with the European Association for Comparative Economic Studies
Dokumentumtípus: Könyv része
Megjelent: University of Szeged, Faculty of Economics and Business Administration, Doctoral School in Economics Szeged 2025
Sorozat:Conference in cooperation with the European Association for Comparative Economic Studies
Kulcsszavak:Térinformatika alkalmazása - Európai Unió, Hulladéklerakás - illegális - Európai Unió
Tárgyszavak:
doi:10.14232/gtk.ppsgdte.2025.9

Online Access:http://acta.bibl.u-szeged.hu/89224
Leíró adatok
Tartalmi kivonat:Illegal waste disposal remains a persistent environmental and legal challenge in the EU, contributing significantly to pollution and climate change. This article explores the potential of AIbased geospatial intelligence, such as UAV-assisted aerial monitoring, to support the detection and inspection of illegal landfills by LEAs. The research aims to assess both the opportunities and the legal implications of such technologies. The study combines legal analysis with a case study of the EU-funded PERIVALLON project. The paper identifies and discusses the relevant EU legal frameworks in the fields of AI governance and personal data protection. It concludes that while AIdriven geospatial tools offer substantial potential for environmental law enforcement, their deployment must be carefully aligned with EU legal standards to ensure compliance.
Terjedelem/Fizikai jellemzők:158-172
ISBN:978-963-688-088-0