July 18, 2023，United Nations Headquarters, New York, USA，The UN Security Council held a meeting on the issue of artificial intelligence for the first time。UN Secretary -General Gutres Call for，Let reliable and safe artificial intelligence promote climate action，Help the United Nations Sustainable Development Objectives to achieve it as soon as possible。In recent years，Tools and solutions driven by artificial intelligence technology are improving climate adaptability、Promoting green and low -carbon development is shining，This is especially true in developing countries。For this，Scholars at home and abroad are integrated and widely beneficial，Try to develop greener artificial intelligence technology from different aspects。Around digital technology performance maximum efficiency and weighing between low -carbon reduction、Calculating technical green transformation and urgency of the development of artificial intelligence in interdisciplinary cross -domain，The reporter interviewed Emma Strubell, assistant professor of the Institute of Language and Technology, the University of Kaneki Mellon University in the United States and Louk Lannel, Assistant Researcher Louk Lannel ( Lo? L C Lannelongue)。

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Struber told reporters，Copy of climate change challenges cannot be separated from interdisciplinary、Scientific innovation and technological innovation of cross -departments，More personal、Organization and governments of various countries。Digital waves, especially artificial intelligence，Further break the cross -language、Barrier of interdisciplinary exchange，Promoting the development of scientific research innovation。In recent years，The scale of machine learning Bet365 lotto review model increases，distributed small models increasingly increase，Drive breakthroughs of artificial intelligence technology。With the expansion of the scale of the artificial intelligence industry，Digital models have higher requirements for computing power。Hardware support、Electricity supply requires a lot of water and mineral resources，Generate more greenhouse gas，Under the circumstances of improper supervision, it will even cause a sustainable crisis。Struberry thinks，Human beings better measure the use of artificial intelligence to slow down the benefits and costs of climate change，Still any of them is far away。

Recent，Ajay Kumar, an associate professor of the information system and business analysis of Lyon Business College, France, and THOMAS Davenport, an outstanding professor of information technology and management of Barberson College in the United States, in "Harvard Business Review) 》 Postermodel，The hidden environmental cost of the generated artificial intelligence tool does not attract enough attention。Well -known generation artificial intelligence models often come from oversized large -scale cloud service platforms，The latter usually owns thousands of servers，A lot of carbon footprints were generated。Data Center is a physical device for storing management information and communication technology systems，The greenhouse gas generated by the data center industry accounts for about 2%to 3%of the global emissions。Considering the rapid growth of global production data，Data centers need to consume more energy sources to run computer servers，Consume more water to cool the electronic equipment。If the expert wants to explore the environmental impact of the new generation artificial intelligence tool by calculating the carbon footprint，First of all, you should fully understand the carbon footprint life cycle of the machine learning model。

Struberry and Berlin's Berlin's Herbu Administrative College Computer Science and Public Policy Assistant Professor Lynn H. Kaack, etc., outlines the three Bet365 lotto review cases of machine learning model greenhouse gas emissions: Machine learning model emit greenhouse gas when processing calculation tasks、Related application Short -term direct greenhouse gas emissions and structural greenhouse gas emissions brought by applications。They said，The ultimate impact of machine learning on climate change and the environment is uncertain，Decisions from local to countries and international levels are the key factor in shaping the development of machine learning technology，Decision makers can use the above framework to combine the R & D trajectory of machine learning with policies and actions that adapt to climate change。Digital technology Green transformation provides new ideas for developing responsible artificial intelligence。

Kake and others think，The world is in an important window period for leading machine learning to develop in the next decade.，Urgent need to promote cross -industry、Overall method construction and comprehensive analysis of interdisciplinary methods。On the one hand，The government should encourage digital technologies such as machine learning to deal with climate change problems; on the other hand，The government should urge relevant industries to reduce digital technology applications that are not conducive to climate governance。But，Those who master machine learning are still a minority。Digital technology monopolies are not only not conducive to implementing a machine learning improvement plan that slows climate change，It may also expand the digital gap，Make control of data or intellectual capital from public sector to large private institutions。Kake and others suggest，The government encourages the launch of cross -industry internship projects and skills training courses，Promoting machine learning technology sink，Let the cutting -edge knowledge and talent resources in the field of machine learning penetrate into the public domain，Incorporate the plan of the physical institution in dealing with climate bet365 live casino games change。other，Countries must enhance citizens' digital consciousness，Guide citizens to actively participate in model design、deployment、Data collection and governance all aspects，Avoid digital gaps for machine learning、Digital hallucinations and other traps erected a safe defense line。

　　Artificial intelligence and scientific research methods also need to be green and low carbon

Lan Na Longge told reporters，Digital technologies represented by artificial intelligence have the potential to improve the ability to deal with climate change，Therefore, to promote the early realization of the UN sustainable development goals。but but，All sectors of society need to fully consider the potential harm and supervision loopholes of digital technology，Make sure the net benefits brought by the continuous change can maximize the net benefits of society。For example，In recent years, high performance calculations are widely used in science、All areas of engineering and business，Help researchers solve complex problems，Accelerate the generation of major scientific discovery。But，The popularity of high -performance calculations also brings a lot of pressure to natural resources and the environment。For this，The computer science community is striving to improve the carbon footprint evaluation method and tools of digital technology，Evaluate hardware manufacturing more comprehensively、Electricity production、The environmental cost and potential effects generated by all aspects of the data center power supply。

In recent years，"Environmental Sustainable Computer Science" related research is booming。Researchers are committed to eliminating disciplines and professional barriers，Downs green computing concepts to various academic fields involved in calculation，Promoting green computing practice，Introduction of sustainable development research results。For example，The online green algorithm calculator designed by Lannelonel and others integrates a series of bet365 best casino games free、convenient、Standardized carbon footprint calculator，Help people feel the environmental impact of scientific research more intuitively。Some researchers are deeply inspired，On this basis, actively build a carbon footprint evaluation system that is more in line with the actual field of the area，Design a lower carbon computing task。This can be seen，The carbon footprint of quantitative calculation work is an important step to accelerate the formation of green and low -carbon research work methods。

Lanner Longe thinks，It is not necessary to make a choice between the green transformation and computing efficiency of artificial intelligence technology。Researchers in the process of seeking environmental impact of digital technologies such as artificial intelligence，It will inevitably accelerate the best way to explore open science。Continuous innovation with the calculation model，The regulatory system is increasingly perfect，can be found、accessable、Able to operate、Data assessment that can be repeatedly used to use these four dimensions is expected to comprehensively improve，and then significantly reduce unnecessary repetitive computing。Very true，Researchers may also face calculation speed、Calculating accuracy and carbon footprints.。But in most cases，The computing system after the improvement and upgrade can promote the improvement of these three indicators at the same time。and when weighing cannot be avoided，Researchers need to evaluate the actual weight of the calculation speed in scientific research projects，Compare it with the potential environmental impact。From the view of Lanneung Ge，Only the three indicators of correct quantification，Researchers can better perform cost -benefit analysis。

　　Humanities and social sciences are irreplaceable

Lanner Longe thinks，Scholars in the field of humanities and social sciences should participate in the formulation of discussion framework for calculating technology green transformation。On bet365 Play online games the one hand，The new cross -disciplinary knowledge system helps to connect the barriers of discipline and majors，allow researchers to fully explore the sustainable development digital technology in society、The meaning of culture and science。On the other hand，The new concept will give birth to a green calculation action beyond the control of carbon emissions，Promote digital cultural change。Researchers can flexibly use different survey and research methods，Evaluate climate measures taken by each group，Ensure that the green computing framework proposed in various fields truly play its role。

Struberry said，Humanities and Social Sciences can make important contributions to the effectiveness of artificial intelligence in response to climate change。First，Scientific scholars of humanities society can accurately describe climate challenges and their influences for different groups，Reflect to the relevant departments that the characteristics of the group affected by climate change and the way of affected the group。With their help，Decision makers can make more wise decisions，Formulate targeted solutions，For example, the technical focus is devoted to a disadvantaged group with negatively affected climate change、The most dense area of ​​population gathering or places with irreplaceable cultural value。Second，Humanities and Social Sciences Research can also reveal the social effects of technology driven by artificial intelligence，What areas are more worthy of the government to strengthen the government's strengthening of artificial intelligence R & D deployment。If decision makers want to formulate related greenhouse gas emissions budget for artificial intelligence and other technologies，Researchers need to classify and evaluate the advantages and disadvantages of different technologies，Based on this basis，To ensure artificial intelligence to better serve people of various types。

Struberry Talk，Just as the study of transformation and interdisciplinary research shows，Only scientists、The efforts of engineers bet365 Play online games and artificial intelligence researchers，It is difficult to promote the efficient climate goals in the field of artificial intelligence。What kind of incentives can gather stakeholders from different backgrounds? How to achieve long -term communication between different fields and departments?，People need to ask scholars who have studied human civilization and society to ask more，Promoting long -term cooperation between groups that promote complementary knowledge。