How can blockchain technology is helping in the fight against global warming and AI contribute to climate change mitigation and sustainability efforts?
The fight against global warming is greatly aided by blockchain technology, which increases accountability, transparency, and efficiency. Decentralized energy trading is made possible by it, allowing users to exchange renewable energy directly and lowering their dependency on fossil fuels. Blockchain systems with smart contracts can automate and validate the exchange of carbon credits and emissions, guaranteeing precise tracking and emission reduction. Blockchain also offers transparent supply chain tracking, encouraging eco-friendly behavior and lessening its negative effects on the environment. Artificial intelligence (AI) optimizes energy use and boosts efficiency, which helps mitigate the effects of climate change. Artificial intelligence algorithms are better at managing smart grids, forecasting energy consumption, and integrating renewable energy sources. AI-driven data analysis facilitates the identification of risk areas, the prediction of climatic patterns, and the monitoring of environmental changes. AI can also improve industrial processes, reducing waste and emissions, and enhance the efficiency of transportation systems, contributing to overall sustainability efforts.
Yes, that's right. Blockchain technology can help in the secure transfer, archiving, processing and analysis of data that can relate to various aspects of energy, including the development of renewable energy sources, but also to the state of the environment, the protection of the biosphere, the biodiversity of natural ecosystems and the planet's climate, including data on precise analyses of changes in the state of the biosphere and climate as a result of the progressive process of global warming caused by continued high greenhouse gas emissions. Artificial intelligence technology, including primarily generative artificial intelligence trained in the process of deep learning with the help of multi-layer artificial neural networks for specific tasks of multi-criteria, advanced, processing and analysis of data, including data on the energy sector, the state of the environment, climate change and the determinants causing these changes can be useful in terms of significantly increasing the efficiency and reducing the time of processing large sets of data and information on Big Data Analytics platforms, developing research results and making recommendations on what should be changed, improved, etc. in order, for example, to increase energy security resulting from a specific mix of energy sources while increasing the scale of development and share of renewable and emission-free energy sources, which should translate into a significant decrease in greenhouse gas emissions and perhaps also a significant slowdown in the future of the progressive process of global warming, reducing the scale of environmental degradation, saving from annihilation a significant part of the biodiversity of the planet's natural ecosystems. However, at present, large data centers equipped with the new technologies of Industry 4.0/5.0, i.e., first of all, advanced microprocessors, high-speed servers, Big Data Analytics platforms, generative artificial intelligence, Blockchain, etc. performing advanced processing of large amounts of data consume large amounts of electricity, which, unfortunately, is not friendly to the climate, and the biosphere of the planet if this energy is not generated from renewable and emission-free energy sources.
The key issues of opportunities and threats to the development of artificial intelligence technology are described in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
Article OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL I...
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Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz