Mehar Zohaib Ahmad
Climate change has been one of the world’s most pressing challengesfor several past decades. Human emissions of greenhouse gases have triggered global warming and seismic alterations in weather patterns. People nowadays are unwittingly harvesting natural resources such as fossil fuels, natural gases, and electricity through deforestation. Many projects, however, have been launched in an attempt to combat global climate change. During the COP21 in Paris in December 2015, countries ratified the Paris Agreement, in which all countries promised to work towards limiting global temperature rise to less than 2 degrees Celsius, to aim for 1.5 degrees Celsius. Every feasible and scalable idea to combat climate change is to be commended. The potential applications of artificial intelligence to disaster management and climate change strategy are numerous. Many reasons are to blame for how quickly AI’s potential is developing.
They include the massive amounts of data collected by sensors, the proliferation of satellites and the Internet, the creation of faster and more potent computers, the accessibility of open-source data and software, and the rise in inexpensive, plentiful storage. Moreover, AI can make forecasts more accurate, discern patterns that humans find difficult to understand and suggest better policies. In several sectors, including industry, defence, agriculture, and retail, artificial intelligence already plays an outstanding role. Making weather predictions is a crucial tool in combating climate change and safeguarding the environment. By assisting power generation and distribution, from autonomous maintenance and leak monitoring to route optimization and fleet management, AI can increase energy efficiency.
While electricity systems create huge quantities of data, energy corporations are not capable of utilising this data thus far to comprehend the electricity demand. Machine learning, however, may utilise this data to learn and foresee energy generation and demand that assist providers use resources wisely and meet the need with renewable resources while minimising waste. Climate change is expected to be impacted by the fourth industrial revolution when it arrives. It can accentuate a fresh set of environmental security risks that must be taken into account and handled right now. To manage these dangers, transformational and environmental measures will be needed, including efficient governance structures and policy protocols, investment and funding models, current incentives for technological development, and society involvement practices. Proactive cooperation between decision-makers, scientists, members of civil society, supporters of new technologies, and investors will enable this transition. Many business aficionados think artificial intelligence will revolutionise the way we address environmental and climate change challenges. It has the potential to increase human efficiency and reduce threats brought on by climate change. By creating the AI for Earth programme, companies like Microsoft help to save the world. Although artificial intelligence presents game-changing possibilities for addressing environmental challenges, it may also hasten environmental degradation. To have the greatest possible beneficial influence on environmental problems, address climate change, provide excellent food and water security, protect biodiversity, and enhance human well-being, AI should be employed in this manner.