Algorithmic Ecopedagogy for Biosecurity Resilience and Invasive Biota Governance in the Anthropocene
Abstract
This chapter interrogates the strategic integration of artificial intelligence into environmental education as a transformative mechanism for invasive alien species prevention, detection, and control. It synthesises ecological urgency, technological acceleration, and pedagogical reform to propose governance frameworks that embed AI literacy, ethical reasoning, and biodiversity knowledge across educational systems. Drawing on global policy contexts and institutional innovations, the discussion illustrates how AI-enabled curricula can generate actionable data, strengthen conservation decision-making, and cultivate ecologically responsible citizenship. The chapter advances a vision of AI not as a detached tool but as a co-evolving partner in biotic stewardship, with education functioning as a conduit for aligning technological potential with measurable biodiversity outcomes. By linking algorithmic capacity to participatory ecological governance, it positions AI-enabled education as a critical vector for ecological resilience and long-term socio-environmental sustainability.
Fields of Study & Subjects
Conservation
Ecology
Wildlife Education
Environmental Philosophy and Ethics
Animal and Plant Science Education
Publication details
- Journal / source
- Advances in computational intelligence and robotics book series
- Publisher
- IGI Global Scientific Publishing
- Pages
- 33–80
- Publication date
- 6 January 2026
- Document type
- Book chapter