AI potential can help in decarbonisation efforts, said UK researchers.
Machine learning advancements and removing waste in the electric vehicle industry could be the answers to net-zero transition, according to fellows at the University of Birmingham in the UK.
Research Fellows at the Lloyds Banking Group Centre for Responsible Business are turning their focus to key elements in the transition:
“AI can identify incorrect data, detect data outliers using statistical analysis as well as use machine learning models to spot data gaps and fill in missing data.
As well as using AI to seek out and connect alternative sources of data, such as traffic indices and satellite data, and infrastructure investment plans, it can also pull in data from blockchains, procurement systems and smart meters.”
Fellows at the Lloyds Banking Group Centre
Potential uses of AI include improved carbon accountability, enhanced investment markets, and ability to coordinate collective efforts.
But the fellows also warned that responsible and transparent AI is necessary. “Sufficient and trusted data” for the deployment of machine learning need to be met, they said.
Aside from using AI potential and machine learning to improve data on the carbon accountability of business activities, the other key element is designing for reuse and removing waste out of the electric vehicle industry.
“ To close the circle and get firmly on the road to net-zero, it is imperative for the government to recognise ‘circular economy thinking’ in policies, programmes and financially incentivise or compel the recycling or reuse.”
Research fellows at the University of Birmingham
