AI-Based Permitting 5.0 in Puglia: A New Environmental Framework

ID: 2147

Presenting Author: Giuseppe Angelini

Session: 674 - Innovation, transparency, and sustainability in Permitting 5.0 through AI

Status: pending


Summary Statement

Puglia applies AI to EIA, SEA, IEA and AA within the Permitting 5.0 model, advancing DNSH compliance and integrating sustainability into environmental governance.


Abstract

The integration of Artificial Intelligence into environmental governance represents a decisive step toward more coherent, transparent, and efficient assessment and permitting systems. Beyond simplifying administrative workflows, AI contributes to a deeper transformation of decision-making processes, reinforcing accountability and the scientific basis of environmental evaluation. Within this framework, the Puglia Region has joined the inter-institutional table coordinated by the Italian Ministry of the Environment to contribute to the development of the national Permitting 5.0 model.
The initiative builds upon the Regional Strategy for Sustainable Development (DGR 1670/23) and aligns with the EU Taxonomy Regulation 2020/852 and the Do No Significant Harm (DNSH) principle, ensuring that all interventions comply with sustainability and environmental protection goals.
At the operational level, the regional pilot applies AI-driven systems across Environmental Impact Assessment (EIA), Strategic Environmental Assessment (SEA), Integrated Environmental Authorization (IPPC), and Appropriate Assessment (AA) procedures. Predictive analytics and automated knowledge frameworks support assessment, monitoring, mitigation, and compensation, fostering interoperability and data integration throughout the permitting workflow. Through this experimentation, Puglia promotes a governance model where digital innovation strengthens environmental responsibility and institutional capacity.


Author Bio

Section Manager for Environmental Authorisations at Regione Puglia, overseeing biodiversity, urban planning, and environmental assessments including EIA, SEA, and infrastructure development.


Coauthor 1: Rosa Marrone

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