Generative AI’s environmental costs are soaring — and mostly secret

Aligning artificial intelligence with climate change mitigation

Kaack, L. H., Donti, P. L., Strubell, E., Kamiya, G., Creutzig, F., & Rolnick, D. (2022) · Nature Climate Change · doi:10.1038/s41558-022-01377-7 · Cited by 570 · see citing works

ChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A Review

Khowaja, S. A., Khuwaja, P., Dev, K., Wang, W., Nkenyereye, L., & Fortino, G. (2024) · Cognitive Computation · doi:10.1007/s12559-024-10285-1 · Cited by 208 · see citing works

The growing memristor industry

Lanza, M., Pazos, S. M., Aguirre, F. L., Sebastian, A., Gallo, M. L., Alam, S. M., Ikegawa, S., Yang, J. J., Vianello, E., Chang, M., et al. (2025) · Nature · doi:10.1038/s41586-025-08733-5 · Cited by 189 · see citing works

Toward an AI Era: Advances in Electronic Skins

Fu, X., Cheng, W., Wan, G., Yang, Z., & Tee, B. C. K. (2024) · Chemical Reviews · doi:10.1021/acs.chemrev.4c00049 · Cited by 172 · see citing works

Systematic review of cost effectiveness and budget impact of artificial intelligence in healthcare

El Arab, R. A., & Al Moosa, O. A. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01722-y · Cited by 149 · see citing works

E-waste challenges of generative artificial intelligence

Wang, P., Zhang, L., Tzachor, A., Masanet, E. R., & Chen, W. (2024) · Nature Computational Science · doi:10.1038/s43588-024-00712-6 · Cited by 122 · see citing works

E-waste Challenges of Generative Artificial Intelligence

Wang, P., Zhang, L.-Y., Tzachor, A., Masanet, E., & Chen, W.-Q. (2024) · doi:10.21203/rs.3.rs-3978528/v1 · Cited by 122 · see citing works

Environmental impact and net-zero pathways for sustainable artificial intelligence servers in the USA

Xiao, T., Nerini, F. F., Matthews, H. D., Tavoni, M., & You, F. (2025) · Nature Sustainability · doi:10.1038/s41893-025-01681-y · Cited by 121 · see citing works

Understanding the Practices, Perceptions, and (Dis)Trust of Generative AI among Instructors: A Mixed-methods Study in the U.S. Higher Education

Lyu, W., Zhang, S., Chung, T., Sun, Y., & Zhang, Y. (2025) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2025.100383 · Cited by 68 · see citing works

Generative artificial intelligence and ELT

Moorhouse, B. L. (2024) · ELT Journal · doi:10.1093/elt/ccae032 · Cited by 57 · see citing works

A survey of transformer networks for time series forecasting

Zhao, J., Chu, F., Xie, L., Che, Y., Wu, Y., & Burke, A. F. (2025) · Computer Science Review · doi:10.1016/j.cosrev.2025.100883 · Cited by 65 · see citing works

Governance fix? Power and politics in controversies about governing generative AI

Ulnicane, I. (2024) · Policy and Society · doi:10.1093/polsoc/puae022 · Cited by 54 · see citing works

Generative AI as a tool to accelerate the field of ecology

Rafiq, K., Beery, S., Palmer, M. S., Harchaoui, Z., & Abrahms, B. L. (2025) · Nature Ecology & Evolution · doi:10.1038/s41559-024-02623-1 · Cited by 46 · see citing works

Generative artificial intelligence: the ‘more knowledgeable other’ in a social constructivist framework of medical education

Tran, M., Balasooriya, C. D., Semmler, C., & Rhee, J. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01823-8 · Cited by 51 · see citing works

The Earth BioGenome Project Phase II: illuminating the eukaryotic tree of life

Blaxter, M. L., Lewin, H. A., Palma, F. D., CHALLIS, R. J., da Silva, M., Durbin, R. M., Formenti, G., Franz, N. M., Guigó, R., Harrison, P. W., et al. (2025) · Frontiers in Science · doi:10.3389/fsci.2025.1514835 · Cited by 35 · see citing works

Advances and challenges in energy and climate alignment of AI infrastructure expansion

Lal, A., & You, F. (2025) · Advances in Applied Energy · doi:10.1016/j.adapen.2025.100243 · Cited by 35 · see citing works

Future Shock: Generative AI and the International AI Policy and Governance Crisis

Leslie, D., & Perini, A. M. (2024) · Harvard Data Science Review · doi:10.1162/99608f92.88b4cc98 · Cited by 33 · see citing works

Promoting or inhibiting: The impact of artificial intelligence application on corporate environmental performance

Liu, Y., Wang, B., & Song, Z. (2024) · International Review of Financial Analysis · doi:10.1016/j.irfa.2024.103872 · Cited by 34 · see citing works

Providing load flexibility by reshaping power profiles of large language model workloads

Wang, Y., Guo, Q., & Chen, M. (2025) · Advances in Applied Energy · doi:10.1016/j.adapen.2025.100232 · Cited by 30 · see citing works

Danish university policies on generative AI: Problems, assumptions and sustainability blind spots

Driessens, O., & Pischetola, M. (2024) · MedieKultur: Journal of media and communication research · doi:10.7146/mk.v40i76.143595 · Cited by 25 · see citing works

Taking Responsibility for Meaning and Mattering: An Agential Realist Approach to Generative AI and Literacy

Kumar, P. C., Cotter, K., & Cabrera, L. Y. (2024) · Reading Research Quarterly · doi:10.1002/rrq.570 · Cited by 22 · see citing works

To use or not to use: exploring the ethical implications of using generative AI in academic writing

Rentier, E. S. (2024) · AI and Ethics · doi:10.1007/s43681-024-00649-6 · Cited by 21 · see citing works

Compassionate AI Design, Governance, and Use

Ciriello, R., Chen, A., & Rubinsztein, Z. (2025) · IEEE Transactions on Technology and Society · doi:10.1109/tts.2025.3538125 · Cited by 19 · see citing works

People-Powered Gen AI: Collaborating with Generative AI for Civic EngagementPreprint

Williams, S., Beery, S., Conley, C., Evans, M. L., Garces, S., Gordon, E., Jacob, N., & Medina, E. M. (2024) · doi:10.21428/e4baedd9.f78710e6 · Cited by 21 · see citing works

From revolution to evolution: What generative AI really means for language learning

Pegrum, M. A. (2025) · Language Teaching · doi:10.1017/s0261444825000151 · Cited by 17 · see citing works

The attribution problem of a seemingly intangible industry

Falk, S., van Wynsberghe, A., & Biber‐Freudenberger, L. (2024) · Environmental Challenges · doi:10.1016/j.envc.2024.101003 · Cited by 16 · see citing works

Compacting AI: In Search of the Small Language Model

Jovanovic, M., & Campbell, M. (2024) · Computer · doi:10.1109/mc.2024.3404674 · Cited by 14 · see citing works

The model is the museum: generative AI and the expropriation of cultural heritage

Gonring, G. M. (2025) · AI & Society · doi:10.1007/s00146-025-02290-1 · Cited by 14 · see citing works

HOW MEDIA UNIONS STABILIZE TECHNOLOGICAL HYPE Tracing Organized Journalism’s Discursive Constructions of Generative Artificial Intelligence

Ananny, M., & Karr, J. (2025) · Digital Journalism · doi:10.1080/21670811.2025.2454516 · Cited by 13 · see citing works

An Empirical Study on Lightweight CNN Models for Efficient Classification of Used Electronic Parts

Chand, P., & Assaf, M. H. (2024) · Sustainability · doi:10.3390/su16177607 · Cited by 11 · see citing works

How could the United Nations Global Digital Compact prevent cultural imposition and hermeneutical injustice?

Gwagwa, A. E., & Mollema, W. J. T. (2024) · Patterns · doi:10.1016/j.patter.2024.101078 · Cited by 18 · see citing works

Unifying machine learning and interpolation theory via interpolating neural networks

Park, C., Saha, S., Guo, J., Zhang, H., Xie, X., Bessa, M. A., Qian, D., Chen, W., Wagner, G. J., Cao, J., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-63790-8 · Cited by 11 · see citing works

Leveraging Deep Reinforcement Learning within Optimal Renewable Energy Strategies for Sustainable AI Data Centers

Xiao, T., & You, F. (2025) · Environmental Science & Technology · doi:10.1021/acs.est.5c09990 · Cited by 11 · see citing works

A Critical Analysis of Machine Learning Eco-feedback Tools through the Lens of Sustainable HCI

Görücü, S., Morais, L., & Panagiotidou, G. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713198 · Cited by 10 · see citing works

Reflexive Prompt Engineering

Djeffal, C. (2025) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3715275.3732118 · Cited by 10 · see citing works

AI Personal Assistants and Sustainability: Risks and Opportunities

Rillig, M. C., & Kasirzadeh, A. (2024) · Environmental Science & Technology · doi:10.1021/acs.est.4c03300 · Cited by 10 · see citing works

Compassionate Digital Innovation: A Pluralistic Perspective and Research Agenda

Ciriello, R., Mathiassen, L., Risius, M., Cheong, M., Scheepers, H., & Vaast, E. (2025) · Information Systems Journal · doi:10.1111/isj.70003 · Cited by 12 · see citing works

Event segmentation applications in large language model enabled automated recall assessments

Panela, R. A., Barnett, A. J., Barense, M. D., & Herrmann, B. (2025) · Communications Psychology · doi:10.1038/s44271-025-00359-7 · Cited by 10 · see citing works

The Homogenizing Engine: AI's Role in Standardizing Culture and the Path to Policy

Daryani, Y., Sourati, Z., & Dehghani, M. (2025) · Policy Insights from the Behavioral and Brain Sciences · doi:10.1177/23727322251406591 · Cited by 11 · see citing works

Blended Learning and AI: Enhancing Teaching and Learning in Higher Education

Wong, K. K. (2024) · Lecture notes in computer science · doi:10.1007/978-981-97-4442-8_4 · Cited by 9 · see citing works

The Future End of Design Work: A Critical Overview of Managerialism, Generative AI, and the Nature of Knowledge Work, and Why Craft Remains Relevant

Hernández-Ramírez, R., & Ferreira, J. B. (2024) · She ji · doi:10.1016/j.sheji.2024.11.002 · Cited by 11 · see citing works

Bridging artificial intelligence with photovoltaics

Lee, S., Lee, S., Lee, S., Hwang, J.-S., Oh, W., Winther, K. T., Lee, D. U., Kim, D.-H., Nielander, A. C., Jaramillo, T. F., et al. (2025) · Cell Reports Physical Science · doi:10.1016/j.xcrp.2025.102893 · Cited by 8 · see citing works

Relational Ethics and Structural Epistemic Injustice of AI in Medicine

Herzog, C., & Branford, J. (2025) · Philosophy & Technology · doi:10.1007/s13347-025-00987-1 · Cited by 11 · see citing works

AI Governance: A Framework for Responsible AI DevelopmentPreprint

Ligot, D. V. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4817726 · Cited by 8 · see citing works

Climate Sustainability through AI-Crypto Synergies and Energy Transition in the Digital Landscape to Cut 0.7 GtCO2e by 2030

Lal, A., & You, F. (2025) · Environmental Science & Technology · doi:10.1021/acs.est.4c11477 · Cited by 8 · see citing works

Unpacking Predominant Narratives about Generative AI and Education: A Starting Point for Teaching Critical AI Literacy and Imagining Better Futures

Baer, A. (2025) · Library trends · doi:10.1353/lib.2025.a961189 · Cited by 7 · see citing works

Data Ecofeminism

Valdivia, A. (2025) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3715275.3732027 · Cited by 8 · see citing works

Creative intra-actions: co-creating with generative AI in the age of climate change

Ferreira, R. (2025) · Learning Media and Technology · doi:10.1080/17439884.2025.2532550 · Cited by 8 · see citing works

A Rule-Based Conversational Agent for Mental Health and Well-Being in Young People: Formative Case Series During the Rise of Generative AI

Wrightson‐Hester, A., Anderson, G., Dunstan, J., McEvoy, P. M., Sutton, C., MYERS, B. J., Egan, S. J., Tai, S., Johnston-Hollitt, M., Chen, W., et al. (2025) · JMIR Formative Research · doi:10.2196/69841 · Cited by 7 · see citing works

Utilizing Large Language Models to Synthesize Product Desirability Datasets

Hastings, J. D., Weitl-Harms, S., Doty, J., Myers, Z. J., & Thompson, W. (2024) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata62323.2024.10826001 · Cited by 7 · see citing works

African Democracy in the Era of Generative Disinformation: Challenges and Countermeasures against AI-Generated PropagandaPreprint

Okolo, C. T. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4885958 · Cited by 7 · see citing works

Children and Generative AI (GenAI) in Australia: The Big Challenges

Leaver, T. B., & Srdarov, S. (2025) · Queensland University of Technology · doi:10.5204/rep.eprints.257452 · Cited by 7 · see citing works

‘Can’t Help Myself’: on generative AI, the performance of qualitative research and slow scholarship

Nolan, R. (2025) · Qualitative Research · doi:10.1177/14687941241308696 · Cited by 6 · see citing works

AI carbon footprint: The non-negligible hidden emission source

He, C., Yue, F., Li, L., Tang, Y., Wu, Q., & Chen, W. (2025) · Eco-Environment & Health · doi:10.1016/j.eehl.2025.100197 · Cited by 6 · see citing works

The Carbon Cost of Intelligence: A Domain-Specific Framework for Measuring AI Energy and Emissions

Kaur, R., Kundu, T., Park, K., & Pinsky, E. (2026) · Energies · doi:10.3390/en19030642 · Cited by 7 · see citing works

The ‘Tragic Dilemma’ of GenAI in Education: An Exploratory Human-AI Conversation

Palalas, A., Pegrum, M. A., Gunawardena, C. N., Robertson, R. S., & Ventura, J. (2025) · Postdigital Science and Education · doi:10.1007/s42438-025-00600-w · Cited by 5 · see citing works

High temperature evaporative cooler utilizing boiling suppression at water’s boiling point

Fang, R., Sun, Z., Chen, Q., Zheng, J., Yan, Z., Pan, N., Li, Y., Deng, Y., Wei, Y., Liang, Z., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-67717-1 · Cited by 5 · see citing works

Integrating Virtual Reality, Chatbots, and BDI Agents: VEsNA Goes Fast!

Ferrando, A., Gatti, A., & Mascardi, V. (2026) · Springer eBooks · doi:10.1007/978-3-032-01082-7_11 · Cited by 5 · see citing works

Reflections on the impact of artificial intelligence on peer-review practices and its implications for greener scientific evaluation

Fuente-Ballesteros, A., & Zuin, V. G. (2026) · Green Analytical Chemistry · doi:10.1016/j.greeac.2026.100349 · Cited by 5 · see citing works

A Survey of AI tools in Library Tech: Accelerating into and Unlocking Streamlined Enhanced Convenient Empowering Game-Changers

Taylor, J., Dagan, K., Youngberg, M., Kaufman, T., & Radding, J. (2025) · Journal of Electronic Resources Librarianship · doi:10.1080/1941126x.2025.2497738 · Cited by 5 · see citing works

Harnessing technology in pediatric nursing: Balancing innovation, equity and sustainability

Plummer, K., Pope, N., McCradden, M. D., Ullman, A. J., Foster, M., Stinson, J., & Griffin, B. R. (2025) · Journal of Pediatric Nursing · doi:10.1016/j.pedn.2025.03.019 · Cited by 5 · see citing works

"As an individual, I suppose you can't really do much": Environmental Sustainability Perceptions of Machine Learning Practitioners

Görücü, S., Ren, Y., SAMUEL, G. G., & Panagiotidou, G. (2025) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3715275.3732088 · Cited by 4 · see citing works

AI-generated Literature, Distant Writing and the Reader: Reflections on Floridi and Calvino

Mollema, W. J. T. (2025) · Philosophy & Technology · doi:10.1007/s13347-025-01008-x · Cited by 4 · see citing works

The wompom

Baayen, R. H. (2024) · Corpus Linguistics and Linguistic Theory · doi:10.1515/cllt-2024-0053 · Cited by 7 · see citing works

To Improve Literacy, Improve Equality in Education, Not Large Language Models

Forbes, S. H., & Guest, O. (2025) · Cognitive Science · doi:10.1111/cogs.70058 · Cited by 4 · see citing works

Memristive Chaotic Circuit for Information Processing Through Time

Escudero, M., Spiga, S., & Brivio, S. (2025) · Advanced Intelligent Systems · doi:10.1002/aisy.202500508 · Cited by 4 · see citing works

Reframing Justice in Healthcare AI: An Ubuntu‐Based Approach for Africa

Ochasi, A., Mahamadou, A. J. D., Altman, R. B., & Nkwocha, L. (2025) · Developing World Bioethics · doi:10.1111/dewb.70007 · Cited by 4 · see citing works

AI-generated imagery in ethnography: A reflective framework

Chen, J. (2025) · Big Data & Society · doi:10.1177/20539517251403957 · Cited by 4 · see citing works

How demand-side mitigation can help shape effective climate policies

Zhu, L., & Liu, P. (2024) · Nature Climate Change · doi:10.1038/s41558-024-02148-2 · Cited by 3 · see citing works

The Double-Edged Sword of AI in Climate Change: Opportunities, Risks, and Responsible Governance

Handa, M. (2025) · The International Journal of Climate Change Impacts and Responses · doi:10.18848/1835-7156/cgp/v17i02/47-62 · Cited by 3 · see citing works

Composite AI With Custom, Compact, Neurosymbolic Models: The Emergent Enterprise Artificial Intelligence Paradigm

Sheth, A. P., Roy, K., Venkataramanan, R., Nadimuthu, V., & Shyalika, C. (2025) · IEEE Internet Computing · doi:10.1109/mic.2025.3570554 · Cited by 3 · see citing works

Technology education for sustainable development– a scoping review

Andersen, L. B., Frydendahl, A. J., Lisborg, S., Jensen, J. J., Laursen, J. D., Mørkeberg, C. J. P. W. S., Nielsen, C. B., & Schrøder, V. (2025) · International Journal of Technology and Design Education · doi:10.1007/s10798-025-10043-w · Cited by 6 · see citing works

3-D Crosspoint (3DXP) Memory Arrays With Subthreshold Operation for Low-Energy, High-Accuracy Neural Network Accelerators

Carletti, F., Farronato, M., Hu, G., Lepri, N., Tortorelli, I., Pirovano, A., Fantini, P., & Ielmini, D. (2025) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2025.3635643 · Cited by 3 · see citing works

Thirsty Forests and Expansive Droughts : The environmental impacts of data centers in Latin America

Bejarano, N. D., & Valdivia, A. (2025) · Environment and Planning E Nature and Space · doi:10.1177/25148486251409055 · Cited by 3 · see citing works

Building Accurate Energy-Use Statistics for Data Centers

Wang, Y.-Z., Han, T., & Wei, Y.-M. (2025) · Engineering · doi:10.1016/j.eng.2025.12.014 · Cited by 4 · see citing works

Artificial Intelligence and the twin transition: the good, the bad, and the ugly

Bohnsack, R., Pinkse, J., & Reischauer, G. (2026) · Industry and Innovation · doi:10.1080/13662716.2026.2683371 · Cited by 3 · see citing works

Artificial intelligence-enabled green innovation: Evidence from patent data

Volpentesta, T., Urbani, R., & Deriu, V. (2026) · Socio-Economic Planning Sciences · doi:10.1016/j.seps.2026.102541 · Cited by 3 · see citing works

A systematic review of economic evidence of artificial intelligence in healthcare

Schmidt, J., Carter, A. W., McGuire, A. J., Mossialos, E., & van Kessel, R. (2026) · Health Policy · doi:10.1016/j.healthpol.2026.105715 · Cited by 3 · see citing works

New directions in mapping the Earth’s surface with citizen science and generative AI

See, L., Chen, Q., Crooks, A. T., Bayas, J. C. L., Fraisl, D., Fritz, S., Georgieva, I., Hager, G., Hofer, M., Lesiv, M., et al. (2025) · iScience · doi:10.1016/j.isci.2025.111919 · Cited by 3 · see citing works

Teaching and Advising in Systems Science and System Dynamics—Personal Experience, Lessons, and Reflections

Barlas, Y. (2025) · System Dynamics Review · doi:10.1002/sdr.70003 · Cited by 3 · see citing works

The Long and Winding Road to Bans for Artificial Intelligence: From Public Pressure and Regulatory Initiatives to the EU AI Act

Rudschies, C., & Schneider, I. (2025) · Digital Society · doi:10.1007/s44206-025-00214-6 · Cited by 3 · see citing works

Unsustainable artificial intelligence and algorithmically facilitated emissions: The case for emissions-reduction-by-design

Haider, J., Rödl, M. B., & White, J. M. (2025) · Big Data & Society · doi:10.1177/20539517251365226 · Cited by 3 · see citing works

Opportunities and considerations for using artificial intelligence in bioinformatics education

Piccolo, S. R., Nathan, A., Brazas, M. D., Kandpal, M., Miró-Herrans, A. T., Kleinschmit, A. J., McClatchy, S., Mutheiwana, P., Nikolic, D., Gallo, L. I., et al. (2024) · Bioinformatics Advances · doi:10.1093/bioadv/vbaf169 · Cited by 2 · see citing works

Beyond Do No Harm: Introduction to Green Radiology

Hecht, E. M., Margolis, D., Wehrli, N. E., Cascella, B., Pogorzelski, J., Trikantzopoulos, E., & Hentel, K. (2024) · Journal of Computer Assisted Tomography · doi:10.1097/rct.0000000000001698 · Cited by 2 · see citing works

Reaction Profile Forecasting by Artificial Data Generation for Wittig-Type Geminal Bromofluoroolefination

Kim, H. E., Jin, J., Kim, H. W., & Chung, W. (2025) · Organic Letters · doi:10.1021/acs.orglett.5c01196 · Cited by 2 · see citing works

Humour as Resistance: Creative Approaches to Data Center Accountability

Bhardwaj, E., Qiao, H., Munson, R. O. A., & Becker, C. (2025) · ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS) · doi:10.1145/3715335.3737682 · Cited by 2 · see citing works

Artificial intelligence for health security in Africa: Benefits, risks and opportunities

Standley, C. J., Breugelmans, J. G., Chaudhari, A. B., Cherian, N. G., Chwalek, S., Deol, A., Dietrich, J. J., du Moulin, L., Otim, G., James, W., et al. (2025) · Epidemics · doi:10.1016/j.epidem.2025.100870 · Cited by 3 · see citing works

Ethics, generative AI and science communication

Feldman, H. R., Medvecky, F., & Riedlinger, M. E. (2025) · Public Understanding of Science · doi:10.1177/09636625251393621 · Cited by 2 · see citing works

High-Accuracy, High-Performance In-Memory Computing With High-Resistance Spin-Orbit Torque (SOT) Magnetic Memory

Carletti, F., Song, M. Y., Ambrosi, E., Hu, C. Y., Hsu, C., Mannocci, P., Chen, G. L., Wang, I. J., Chen, K. M., Hsin, Y.-C., et al. (2025) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2025.3640599 · Cited by 2 · see citing works

AI and Soft Computing in Levee Risk Management: Balancing Opportunities, Challenges, and Social-Environmental Impacts

Abdollahi, A., Segura, R. L., Stewart, I. T., & Veylon, G. (2025) · IEEE International Symposium on Technology and Society (ISTAS) · doi:10.1109/istas65609.2025.11269634 · Cited by 2 · see citing works

GenAI’s silent cost: the looming environmental crisis

Nie, D., Li, X., & Su, X. (2026) · Integrated Environmental Assessment and Management · doi:10.1093/inteam/vjaf114 · Cited by 2 · see citing works

The shifting locus of accountability: the discourse of young Indian adults (YIAs) on the environmental impact of artificial intelligence

Ansari, B., & Sameer, A. (2026) · AI & Society · doi:10.1007/s00146-026-03048-z · Cited by 2 · see citing works

Priorities for net-zero web services

Arora, M., McClenaghan, I., & Wozniak, L. (2024) · Nature Electronics · doi:10.1038/s41928-024-01227-8 · Cited by 2 · see citing works

La dualidad de la inteligencia artificial en la sostenibilidad de las cadenas de suministro: una revisión narrativa

Mateus, M. A. (2024) · European Public & Social Innovation Review · doi:10.31637/epsir-2024-552 · Cited by 2 · see citing works

Polarization-Insensitive Silicon Grating Couplers via Subwavelength Metamaterials and Metaheuristic Optimization

Parra, J. (2025) · Photonics · doi:10.3390/photonics12050428 · Cited by 2 · see citing works

Blueprint of a smokescreen: Introducing the validated climate disinformation corpus for behavioural research on combating climate disinformation

Spampatti, T., Brosch, T., Mumenthaler, C., & Hahnel, U. J. J. (2025) · British Journal of Psychology · doi:10.1111/bjop.70012 · Cited by 8 · see citing works

Algorithms, Bytes, and Chips: The Emerging Political Economy of Foundation ModelsPreprint

Mills, S. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4834417 · Cited by 2 · see citing works

Reusable Noncomplementary DNA-Based Neural Network

Sun, C., Liu, X., Zhong, J., Zhou, Q., & Cheng, J. (2025) · Journal of the American Chemical Society · doi:10.1021/jacs.5c04886 · Cited by 1 · see citing works

European Governance of Artificial Intelligence: Bridging Uncertainty With Evidence‐Informed Policy Making

von Maydell, R. (2025) · Contemporary European Politics · doi:10.1002/cep4.70016 · Cited by 1 · see citing works

AI evolution: bring biomimicry to language models

Lameira, A. R., & Pietquin, O. (2025) · Bioinspiration & Biomimetics · doi:10.1088/1748-3190/ae2c2e · Cited by 1 · see citing works

New report underlines AI's environmental cost

Analytica, O. (2024) · Emerald expert briefings · doi:10.1108/oxan-es285748

Carbon Emissions in the Tailpipe of Generative AI

Kneese, T., & Young, M. (2024) · Harvard Data Science Review · doi:10.1162/99608f92.fbdf6128 · Cited by 14 · see citing works

I costi ambientali dell’intelligenza artificiale: il dibattito negli Stati Uniti

Merler, M. (2025) · BioLaw Journal - Rivista di BioDiritto · doi:10.15168/2284-4503-3491

Toward Environmentally Equitable AI

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