Abstract

This study examines how Artificial Intelligence (AI) influences citizen science ecosystems, highlighting the importance of multimodal communication, inclusivity, and ethical participation. Interdisciplinary research from 214 to 225 demonstrates how AI tools such as adaptive interfaces, chatbots, and gamification transform public engagement in science. These advances increase motivation and retention, enable real-time feedback, accessibility for diverse users, and enhance data quality. The study emphasises the importance of transparent and participatory AI design, addressing key ethical concerns, including bias and equitable access. By applying behavioural and communicative theories, it analyses how AI builds trust and dialogue between participants and platforms. When aligned with human-centred principles, AI can democratise close participation gaps and support collaborative research. Research offers valuable insights for developers, educators, and policymakers, emphasising the importance of collaboration in creating socially responsible citizen science platforms. The findings outline a plan for developing ethical, inclusive, and adaptable systems responsive to societal changes.

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