AI’s Carbon Footprint Is the Subject of Climate Research
For the past three decades, automobile carbon emissions have been a political and social hot topic, and manufacturers are now required to declare their emissions. AI, which is growing rapidly and has a direct impact on the climate, could be considered as a possible alternative.
Self-driving cars, translation tools, automatic image recognition, and logistics optimization are just a few of the many applications of AI. For the first time, carbon footprints are being measured as part of climate research.
Climate research institute MCC has contributed to this approach in an academic paper published in the journal Nature Climate Change.
Nature Climate Change is the journal where the research was published.
AI, on the other hand, is like a hammer in terms of impact. It can do good things, but it may also harm.
As a result, it is imperative that it be guided in the right path by rules that have been carefully managed. Whether it has an impact on the job market or data security, or both, this holds true to a considerable degree in terms of climate change.
For the first time, researchers have developed an analytical model to help policymakers fully quantify the diverse effects of artificial intelligence on greenhouse gas emissions.
AI’s effect on emissions of greenhouse gases can be divided into three types:
- Direct effects on AI development and use, i.e. carbon emissions from servers, end-user devices, and data centres,
- Effects of specialised AI programmes on greenhouse gas emissions in many aspects of daily life and the economy in the short term.
- Systemic impact of artificial intelligence through structural change, such as an increase in demand for certain services and goods, a shift in consumer habits, or the rise of new market leaders.