인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Some structural constraints towards sustainable environmental policy in Indonesia, among others: The absence of real-time and national scale data, available information are dispersed at the institution and difficult to access as well as limited analytical capacity. Artificial intelligence (AI) has the potential to truly revolutionize the space, being able to swiftly and accurately process large volumes of data, simulate policy scenarios and thus support a more participatory as well as evidence-based way of decision-making. AI-based tools could also be applied to support environmental monitoring systems that track deforestation, air or maritime pollution and strengthen resilience in the face of climate-related disasters. But the use of AI must be accompanied by the data governance reform, cross-sectoral collaboration, capacity building and equal provision for inclusive digital infrastructure. Moreover, the deployment of AI needs to be associated with sound ethical and regulatory mechanisms so that the technology is not abused but reinforces social sustainability. This article argues that AI should be an enabler, rather than replacement of human wisdom and local knowledge in a collaborative, contextualised and equitable way to achieve sustainable, adaptive and democratic environmental governance in Indonesia.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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