Friday 6 March 2020
AI and machine learning are no silver bullets
The U.S. Department who faces increasing climate change related challenges on its ports, training facilities and landing strips has turned to artificial intelligence for help - the world should follow that lead. National governments allocate a huge amount of investment toward defence-related intelligence. However, the threats to national security that this spending is supposed to mitigate are being increasingly overshadowed by climate change-related security risks. To start to face this threat nations need both tactics and strategy that embrace new tools, bold acumen and a focus on action. Whilst there is no silver bullet, using technologies like AI for climate change mitigation can provide green bullets to use in the battle. AI gives access to insights and actionable data that will help nations transition to cleaner sources of energy and serves to maximise the impact of other distributed energy resources in the energy ecosystem.
To help combat climate change we must weaken its strengths and sap its reinforcements - nations can do much of that with policies that shift toward renewables and energy intelligence. The world needs faster and more intelligent energy systems and the resources to pay for them. Government funding and support are key in not only attracting investors but also in creating clear political directives that support a shift toward clean energy sources and nations can use data intelligence to help make those political and investment-related decisions.
Whilst AI and machine learning may not be the sole antidotes, they are catalysts. AI, machine learning and IoT afford governments the capacity - through procurement practices, subsidization, tax incentives, conducive regulatory frameworks, provision of grants and other means - to optimise the efficiency of their energy ecosystems and uncover additional opportunities to accelerate the emergence of a carbon-neutral reality at rates unattainable by humans.
Read the full article here.
This article was originally posted on Forbes.
