Are AI and environmental technology innovations converging
Bibliographic Data
| ID | 7169641 |
|---|---|
| Authors | Kyle Herman (0000-0002-0070-2390, American University of Sharjah), Tatiana Gaitan Amortegui (University of Sussex), Steve Griffith (0000-0002-9593-4724, American University of Sharjah, corresponding author), Steve Griffiths (American University of Sharjah, corresponding author) |
| Year | 2026 |
| Volume | 85 |
| Pages | 103222 |
| Publication date | 2026-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technology in Society (JOURNAL) |
| Journal identifiers | ISSN: 0160-791X • E-ISSN: 1879-3274 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techsoc.2026.103222 |
| OpenAlex | W7118713848 |
| Language | EN |
| References cited | 102 |
Climate change mitigation · Energy (signal processing) · Energy technology · Fossil fuel · Generality · History of technology · Novelty · Ontology · Renewable energy · Energy, Environment, Economic Growth · Machine Learning in Materials Science · Water-Energy-Food Nexus Studies
Tackling Climate Change with Machine Learning
Renewable Energy Policies and Technological Innovation
Artificial intelligence and business models in the sustainable development goals perspective
The role of artificial intelligence in achieving the Sustainable Development Goals
Blockchain technology in the energy sector
Quantifying the progress of artificial intelligence subdomains using the patent citation network
PatentNet
Tracking innovation diffusion
Impact of innovation in hybrid electric vehicles-related technologies on carbon dioxide emissions in the 15 most innovative countries
AI-enabled Green Business Strategy
Knowledge for a warmer world
PatentSBERTa
Artificial intelligence
Large-scale text analysis using generative language models
The Impact of Eco-Innovation on Performance Through the Measurement of Financial Resources and Green Patents
Channeled through trade
Environmental regulatory spillovers, institutions, and clean technology innovation
Twin transitions of decarbonisation and digitalisation
A tale of two market failures
The industrial decarbonization paradigm
Smart energy technology
Artificial intelligence and sustainable development goals nexus via four vantage points
Potential application of generative artificial intelligence and machine learning algorithm in oil and gas sector
Balancing the tradeoff between regulation and innovation for artificial intelligence
Climate change and the political pathways of AI
Does artificial intelligence improve enterprise carbon emission performance? Evidence from an intelligent transformation policy in China
Twin transitions & industry 4.0
Regions facing the ‘twin transition’
Regional artificial intelligence and the geography of environmental technologies
Convergence of environmental innovation in Europe with or without United Kingdom
Combining a conjoint experiment and machine learning model to include end-users in a constructive technology assessment
The making of critical data center studies
Generative AI as a source of information on environmental Problems
AI technology innovation, knowledge management and corporate environmental sustainability
Generative Artificial Intelligence (GenAI) in the research process – A survey of researchers’ practices and perceptions
Fostering sustainable futures through global peace and eco-innovation
Contrasting directionalities in responsible innovation, lessons from the salmon farming industry in Chile and Norway
Green Transitions
Digitalization as a driver of transformative environmental innovation
Inter-niche competition on ice? Socio-technical drivers, benefits and barriers of the electric vehicle transition in Iceland
The great Transformer
| Citation velocity | historical |
|---|---|
| Highly cited | No |