AI & Environment Resource HubOlawade et al. · 2024-05-02
AI plays a transformative role in achieving net-zero emissions by optimizing energy systems, enhancing climate modeling, and improving sustainability across sectors, while challenges in data, ethics, and governance must be addressed for scalable and effective implementation.
Olawade et al.. 2024-05-02. Artificial Intelligence Potential for Net Zero Sustainability: Current Evidence and Prospects. https://www.sciencedirect.com/science/article/pii/S2949823624000187 (AI & Environment Resource Hub; record paper-060; collection snapshot 2026-09-15).
Included in the original Scientific Paper collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.
Source sheet: Scientific Paper · Row 64 · Original ID: paper-060.
A paper listing is not a quality assessment. Peer review and findings require source-level confirmation. Source link reachable · checked 2026-09-15. Source identity and required metadata verified. The import date is not the original date added.
Suggest a correction for this record →Ordered by the number of shared provisional topic labels. This indicates a browsing connection, not agreement between sources.
Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Climate and greenhouse gases
This study presents a behavior-driven decision framework that helps AI developers choose models balancing accuracy and environmental sustainability by quantifying energy use and emissions during fine-tuning and applying behavioral decision theories.
Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Climate and greenhouse gases
This paper explores green AI as a path to environmental sustainability by promoting energy-efficient models, democratized access, eco-friendly AI applications, and regulatory frameworks to align machine learning practices with global climate goals.
Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Climate and greenhouse gases
AI and ML optimize optoelectronic systems for sustainability by enhancing energy efficiency, renewable energy harvesting, environmental monitoring, and smart cities while also advancing ocean optics and photonics for marine ecosystem monitoring and climate change mitigation.
Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Climate and greenhouse gases
Dive into this groundbreaking podcast that unpacks the powerful intersection of AI, sustainability, and higher education. Listen to inspiring voices as they share how AI is driving sustainable development and reshaping education. Uncover the transformative potential of AI as well as ensuing risks and challenges in tackling climate change, addressing inequality, and powering smarter learning systems. Join the global conversation on the ethics, opportunities, and disruptions AI brings to education and its role in achieving the 2030 Agenda.