The 6th ESP Europe Conference (18-22 May 2026 | Prague, Czechia)
This session aims to initiate a structured, critical dialogue on the integration of AI, including Generative AI (GenAI) and Machine Learning (ML), into ecosystem service (ES) research and practice. Its primary goals are to:
• Showcase innovative applications: Present recent AI/ML advances supporting ecosystem service mapping, monitoring, valuation, and decision-support.
• Promote interdisciplinary collaboration: Foster dialogue between researchers, policymakers, and practitioners at the intersection of AI and ES.
• Reflect on governance perspectives: Discuss how frameworks such as the EU AI Act may influence future applications, while maintaining focus on scientific and practical advances.
• Address ethics and inclusivity: Explore fairness, transparency, and integration of diverse knowledge systems, ensuring AI tools do not marginalize local or Indigenous knowledge.
• Introduce the ESP Thematic Working Group: Present the structure and aims of the new ESP platform on “AI and Machine Learning for Ecosystem Services,” fostering long-term interdisciplinary collaboration.
• Assess opportunities and challenges: Identify where GenAI can enhance ES knowledge generation, integration, and communication, while critically examining methodological, ethical, and policy implications, including risks of bias, reproducibility issues, and legitimacy concerns.