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AI-driven participatory environmental management: Innovations, applications, and future prospects
Márcia R C Santos1, Luísa Cagica Carvalho2
1Universidade Lusófona, Lisboa, Portugal; CETRAD Research Centre, Portugal; Instituto Universitário de Lisboa (ISCTE-IUL), Business Research Unit (BRU-IUL), Lisboa, Portugal.
Journal of Environmental Management
|January 3, 2025
Summary
Artificial Intelligence (AI) offers new ways to manage the environment with public participation. This study reviews AI tools for environmental decision-making, highlighting benefits and ethical needs for responsible AI deployment.
Area of Science:
- Environmental Science
- Computer Science
- Public Policy
Background:
- Participatory environmental management involves diverse stakeholders in decision-making.
- Rapid advancements in Artificial Intelligence (AI) present new opportunities for this field.
- Integrating AI into participatory approaches requires careful consideration of challenges and ethics.
Purpose of the Study:
- To explore the integration of AI technologies into participatory environmental management.
- To identify and systematize academic contributions regarding AI-driven tools for environmental management.
- To discuss challenges, ethical considerations, and future prospects of AI in this domain.
Main Methods:
- A systematic literature review was conducted.
- A corpus of 80 relevant academic papers was compiled.
- Text mining tools were employed for analysis of the literature.
Main Results:
- AI offers significant potential for enhancing participatory environmental management.
- Key AI-driven tools and their applications were identified.
- Challenges include transparency, equity, and accountability in AI systems.
Conclusions:
- AI can foster adaptive management strategies and improve stakeholder collaboration.
- Ethical AI deployment is crucial for sustainable development goals.
- Future research should focus on developing transparent, equitable, and accountable AI systems for environmental governance.
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