How the world discusses and cites our work
Researchers, media, and organizations worldwide are engaging with our white papers, summit, and Green AI Index framework. Below is a curated view of external mentions, citations, and coverage—showing the growing influence of sustainable AI discourse.
“Green AI – A multidisciplinary approach to sustainability” (March 2025, Volume 24) — Jerry Huang (Harvard) and Sucharita Gopal (Boston University) published this peer-reviewed article establishing a unified definition of Green AI, a five-phase lifecycle model, and a calibrated measurement framework. The work addresses environmental impacts across the entire AI lifecycle—from hardware through development, deployment, and reuse.
Read article →Researchers have cited the AI Green Index as a comprehensive framework to assess carbon and water footprints across the full lifecycle of AI models and data centers. It addresses regulatory gaps, as existing frameworks often ignore broader supply chain impacts and the carbon intensity of energy sources.
Our White Paper →The UNA-USA Youth Affinity Group published AI For SDGs: A Thematic Synthesis Aligning Artificial Intelligence With The United Nations Sustainable Development Goals For An Equitable Digital Future (Oct 2025). Jerry Huang (Green AI Institute) is among the co-authors. The youth-led study draws on 14 Conversation Circles to identify eight cross-cutting themes—four on AI’s potential (process efficiency, health/education access, environmental resilience, governance innovation) and four on risks (bias, labor displacement, environmental costs, data colonialism)—calling for ethical, inclusive, and sustainable AI approaches.
Read on Zenodo →NVIDIA’s blog on COP29 discusses AI energy efficiency and “Green AI” as reducing environmental impact across AI’s value chain through renewable energy procurement and improved hardware design. The panel emphasized meeting rising energy demands with clean energy sources to support global climate goals—aligning with our institute’s mission.
Read on NVIDIA →Deloitte’s “Powering Artificial Intelligence” report projects AI adoption will drive data center power demand to 1,000 TWh by 2030 and potentially 2,000 TWh by 2050—echoing concerns and projections addressed in our white papers.
Read article →GreenCode AI ranks AI companies using an Environmental Impact Score (EIS) with metrics including renewable energy usage, PUE, carbon intensity, water usage, and transparency—conceptually aligned with our Green AI Index framework for evaluating AI’s environmental footprint.
Visit GreenCode AI →The International Telecommunication Union (ITU) Green Digital Action Sustainable AI working group released this report at the AI for Good Global Summit (July 10, 2025). It identifies gaps in current AI impact measurement—over-reliance on estimates, underreported inference and Scope 3 emissions, opaque water use, lack of standardized methodologies, and carbon-centric metrics—and urges lifecycle assessments across the entire AI system. ITU-T Study Group 5 is developing a standard to assess efficiencies and emissions in AI systems, supporting transparent comparisons and environmental scoring—goals aligned with our Green AI Index framework.
Read on ITU →The Second Green AI Summit is listed on Eventbrite and promoted as bringing together global leaders, innovators, and policymakers to explore how AI can drive sustainable development and advance ESG initiatives aligned with UN Sustainable Development Goals.
View on Eventbrite →Listed on HappeningNext as co-hosted by Harvard Undergraduate AI and Sustainability Group, Boston University CISE, and Green AI Institute. Theme: “Green AI for Global Sustainable Development.”
View listing →The Green AI Institute had a presence at COP29 in Baku, Azerbaijan. At COP29, discussions on AI and sustainability centered on balancing innovation with environmental impact, including panels on energy efficiency and reducing AI’s carbon footprint—topics central to our white papers and summit.
COP29 page →The White Paper on Global Artificial Intelligence Environmental Impact is published in partnership with UASDF, with ISBN numbers (E-book: 979-8-9918643-0-5, Paperback: 979-8-9918643-2-9). UASDF distributes and promotes our work across the U.S.–Asia sustainable development community.
View on UASDF →Launched on the sidelines of the India AI Impact Summit 2026—the first global AI summit held in the Global South. Developed by Dalberg Advisors with support of the Ministry of Electronics and IT, Government of India, as an output of the Resilience, Innovation and Efficiency Working Group (India–France co-chaired). The Playbook outlines key constraints to scaling resilient AI infrastructure, a solutions compendium, and a country-reference framework to support nations in building resilient, energy-efficient, and scalable AI infrastructure aligned with the summit’s pillars: People, Planet, and Progress.
Developed by Dalberg Advisors and CEEW (Council on Energy, Environment and Water), submitted to the Ministry of Electronics and IT ahead of the summit. Jerry Huang (Green AI Institute) is among the 22 AI experts in the Expert Engagement Group. The report advances grand challenges, guiding principles, and recommendations across two tracks: Building sustainable and resource-efficient AI systems (fit-for-purpose AI, inference efficiency, energy- and water-aware data centres, governance) and Leveraging AI for climate action (adaptation, mitigation, climate resilience in the Global South). Chair: Dr Arunabha Ghosh (CEEW).
“The Green AI Institute is a collective of researchers and academics from leading institutions like Harvard and Stanford dedicated to advancing sustainable artificial intelligence.”
— HappeningNext, event listing for The Second Green AI Summit at Harvard and Boston University
“The institute has developed the Green AI Index, a set of criteria designed to evaluate the environmental effects of AI technologies by assessing energy consumption, carbon footprint, resource utilization, and sustainability practices.”
— Huang J, Gopal S. Green AI – A multidisciplinary approach to sustainability. Environmental Science and Ecotechnology, 2025, 24.
“The white paper proposes the AI Green Index, a framework designed to evaluate the environmental impact of AI models and data centers by assessing carbon footprints and water usage across their full life cycle.”
— International Telecommunication Union, Measuring what matters: How to assess AI’s environmental impact (July 2025)
“Data centers consume approximately 1–2% of global electricity, with large AI models like GPT-3 requiring energy equivalent to the yearly usage of 120 U.S. homes.”
— IEA Electricity 2024; Strubell E et al., Energy and Policy Considerations for Deep Learning in NLP (ACL 2020), as cited in our White Paper
We continue to track and share how our work is cited and discussed. For the latest news and summit updates, visit our 2025 Summit page or join our community.
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