“ WITHOUT THE SUPPORT OF AI-ENABLED TECHNOLOGY TO MITIGATE CLIMATE CHANGE , A SIGNIFICANT PERCENTAGE OF THE POPULATION WILL LOSE THEIR HOMES , THEIR LAND , AND EVEN THEIR COUNTRIES ”
AI / ML
“ WITHOUT THE SUPPORT OF AI-ENABLED TECHNOLOGY TO MITIGATE CLIMATE CHANGE , A SIGNIFICANT PERCENTAGE OF THE POPULATION WILL LOSE THEIR HOMES , THEIR LAND , AND EVEN THEIR COUNTRIES ”
CHRISTINA SHIM VP , HEAD OF STRATEGY AND SUSTAINABILITY AT IBM contribute to elevating them : AI can help these different aspects to align , and it can also ensure access to relevant forms of knowledge , promoting fundamental skills and critical thinking among the community ,” explains Migoya .
With the ability to elevate these initiatives , Shim believes that AI will be revolutionary as the world looks to end poverty .
“ A crucial part of this is enabling AI technology the ability to address these issues via public-private partnerships and broader applications of it across business , social , environmental , political and other spheres that are strongly interconnected and have interlocking impacts . In other words , it is impossible to decouple environmental issues from social issues . Climate justice and refugees are an example here , where without the support of AI-enabled technology to mitigate climate change , a significant percentage of the population will lose their homes , their land , and even their countries ,” she says .
Migoya , despite celebrating the significance of AI to climate change , stresses the issue of techno-optimism whereby businesses believe that simply integrating AI into sustainability strategies will solve all problems : “ There is no excuse for not appropriately analysing the scope of the objectives and their effects , involving people affected , subject matter experts , and so on . AI needs to be used “ from the inside ” to improve the way things work ; not “ from the outside ” where there may be a lack of understanding the nuances of the systems involved and how they work .
He concludes : “ We need to be humble enough to be consistently measuring and reassessing our actions so that when we learn , we are applying that as soon as possible .” aimagazine . com 49