The global concern over climate change originated from the growing scientific understanding of human impact on the Earth’s climate, particularly greenhouse gas emissions. In the late 19th century, scientists like Svante Arrhenius theorized about the relationship between carbon dioxide and the greenhRead more
The global concern over climate change originated from the growing scientific understanding of human impact on the Earth’s climate, particularly greenhouse gas emissions. In the late 19th century, scientists like Svante Arrhenius theorized about the relationship between carbon dioxide and the greenhouse effect. By the latter half of the 20th century, climate change emerged as a significant issue.
In 1979, the First World Climate Conference in Geneva marked the beginning of international discussions on climate change, leading to the establishment of the World Climate Program. The 1988 creation of the Intergovernmental Panel on Climate Change (IPCC) by UNEP and the WMO further solidified global attention on the issue.
Key global meetings addressing climate change include the 1992 Earth Summit in Rio, where the UNFCCC was adopted to stabilize greenhouse gas concentrations. The 1997 Kyoto Protocol, the first legally binding agreement, required developed countries to reduce emissions. The 2015 Paris Agreement saw 196 countries commit to limiting global warming to well below 2°C. The 2018 Katowice Climate Change Conference adopted the Katowice Rulebook for implementing the Paris Agreement. The 2021 Glasgow Climate Pact aimed to accelerate action towards the Paris goals with new pledges on emissions reductions and climate finance. These meetings highlight the need for international cooperation and comprehensive policies to tackle climate change.
See less
AI can address global challenges like climate change and poverty reduction as follows: 1.) For climate change: a.) AI models can provide us with the pattern of weather and help us in disaster prevention or management. b.)AI models can track the environment and help in getting the data for deforestatRead more
AI can address global challenges like climate change and poverty reduction as follows:
1.) For climate change:
a.) AI models can provide us with the pattern of weather and help us in disaster prevention or management.
b.)AI models can track the environment and help in getting the data for deforestation and provide us with animal data so as to make policies to protect them.
c.)With the help of AI we can enhance the renewable sources of energy.
d.)AI is being used to help companies in the metal and mining, oil, and gas industries to decarbonize their operations.AI then analyzes this data to help companiestrack and reduce by 20-30%.
2.)For poverty reduction:
a.)With AI learning something is easier, people get personalised recommendations for their material.
b.)AI can match job seekers with suitable employment opportunities and provide personalised training programs to bridge skill gaps, helping them be independent.
c.)AI can assist farmers in increasing crop yields through precision agriculture, which uses data on weather, soil, and crop conditions to optimize planting and harvesting times. This can lead to more efficient use of resources and higher productivity.
See less