Bias, fairness and accountability with artificial intelligence and machine learning algorithms
10.1111/insr.12492 · doi-reference
10.1007/978-3-031-04083-2_18
10.1007/978-3-031-04083-2_18 · doi-reference
Environmental planning based on reduce, reuse, recycle and recover using artificial intelligence
10.1016/j.eiar.2020.106492 · doi-reference
Public perception of artificial intelligence and its connections to the sustainable development goals
10.3390/su13169165 · doi-reference
Artificial-intelligence-enabled intelligent 6G networks
10.1109/mnet.011.2000195 · doi-reference
AI-driven digital platform innovation
10.22215/timreview/1392 · doi-reference
Convergence of blockchain and edge computing for secure and scalable IIoT critical infrastructures in industry 4.0
10.1109/jiot.2020.3025916 · doi-reference
The circular economy meets artificial intelligence (AI): Understanding the opportunities of AI for reverse logistics
10.1108/meq-10-2020-0222 · doi-reference
More sustainable participation? Multi-stakeholder platforms for integrated catchment management
10.1080/07900620500404992 · doi-reference
Blockchain technology and its role in enhancing supply chain integration capability and reducing carbon emission: a conceptual framework
10.3390/su122410550 · doi-reference
The applications of blockchain in artificial intelligence
10.1155/2021/8690662 · doi-reference
The role of artificial intelligence in achieving the Sustainable Development Goals
10.1038/s41467-019-14108-y · doi-reference
How Artificial Intelligence Improves Agricultural Productivity and Sustainability: A Global Thematic Analysis
10.18034/apjee.v6i2.542 · doi-reference
Towards AI driven environmental sustainability: an application of automated logistics in container port terminals
10.1080/00207543.2021.1914355 · doi-reference
Role of artificial intelligence in carbon cost reduction of firms
10.1016/j.jclepro.2024.141413 · doi-reference
Protecting data privacy in the age of AI-enabled ophthalmology
10.1167/tvst.9.2.36 · doi-reference
10.1109/icci-cc.2017.8109789
10.1109/icci-cc.2017.8109789 · doi-reference
Artificial intelligence and the climate emergency: Opportunities, challenges, and recommendations
10.1016/j.oneear.2021.05.018 · doi-reference
Applications of artificial intelligence algorithms in the energy sector
10.3390/en16010347 · doi-reference
Climate change and sustainable development: expanding the options
10.1016/j.clipol.2003.10.010 · doi-reference
How AI capabilities enable business model innovation: Scaling AI through co-evolutionary processes and feedback loops
10.1016/j.jbusres.2021.05.009 · doi-reference
Human-centered artificial intelligence: reliable, safe & trustworthy
10.1080/10447318.2020.1741118 · doi-reference
User perceptions of algorithmic decisions in the personalized AI system: perceptual evaluation of fairness, accountability, transparency, and explainability
10.1080/08838151.2020.1843357 · doi-reference
10.1109/smartgridcomm.2011.6102379
10.1109/smartgridcomm.2011.6102379 · doi-reference
Machine-learning methods for integrated renewable power generation: a comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression
10.1016/j.rser.2019.03.040 · doi-reference
Blockchain application for the Paris agreement carbon market mechanism—a decision framework and architecture
10.3390/su12125069 · doi-reference
Maximising net zero in energy-intensive industries: an overview of AI applications for greenhouse gas reduction
10.3233/jcc230003 · doi-reference
Tackling climate change with machine learning
10.1145/3485128 · doi-reference
The internet of things for smart cities: technologies and applications
10.1109/mnet.2019.8675165 · doi-reference
Improving fairness of artificial intelligence algorithms in Privileged-Group Selection Bias data settings
10.1016/j.eswa.2021.115667 · doi-reference
Machine learning methods to assist energy system optimization
10.1016/j.apenergy.2019.03.202 · doi-reference
Transformation of Japan's energy system to attain net-zero emission by 2050
10.1080/17583004.2017.1396842 · doi-reference
10.1007/978-981-16-4016-2_65
10.1007/978-981-16-4016-2_65 · doi-reference
Artificial intelligence and climate change: ethical issues
10.1108/jices-11-2021-0106 · doi-reference
Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda
10.1016/j.ijinfomgt.2020.102104 · doi-reference
A robust artificial intelligence approach with explainability for measurement and verification of energy efficient infrastructure for net zero carbon emissions
10.3390/s22239503 · doi-reference
Artificial intelligence in industry 4.0, and its impact on poverty, innovation, infrastructure development, and the sustainable development goals: lessons from emerging economies
10.3390/su13115788 · doi-reference
A survey on bias and fairness in machine learning
10.1145/3457607 · doi-reference
Four research pathways for understanding the role of smart technologies in accounting
10.1108/medar-03-2021-1258 · doi-reference
Promoting digital transformation in waste collection service and waste recycling in Moscow (Russia): applying a circular economy paradigm to mitigate climate change impacts on the environment
10.1016/j.jclepro.2022.131604 · doi-reference
