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AI and Climate Change

In this article we will discuss AI and Climate Change

In this article, we will discuss AI and Climate Change. So, let’s get started.

AI

  • AI describes the action of machines accomplishing tasks that have historically required human intelligence.
  • In the year 1956, American computer scientist John McCarthy organised the Dartmouth Conference, at which the term ‘Artificial Intelligence’ was first adopted.
  • It includes technologies like machine learning, pattern recognition, big data, neural networks, self algorithms etc.
  • AI is different from hardware driven robotic automation. Instead of automating manual tasks, AI performs frequent high volume computerised tasks reliably.
  • The governments of developing countries see AI as a silver bullet for solving complex socio-economic problems, as a result, a high share of AI in technology-linked emissions would be seen in the coming decades.

Global Trends for the Development of AI Technology

  • The “race” for dominance in AI is far from fair: a few developed economies possess certain material advantages right from the start, they also set the rules.
  • They have an advantage in research and development, and possess a skilled workforce as well as wealth to invest in AI.
  • North America and East Asia alone account for three-fourths of global private investment in AI, patents and publications.
  • The current state of inequity in AI in terms of governance raises concerns about the technological fluency of policymakers in developing and underdeveloped countries and their representation and empowerment at the international bodies that set rules and standards on AI.
  • The developing and underdeveloped countries have not been much benefitted by the technology as AI’s social and economic benefits are accruing to a few countries only.

Significance of AI in Tackling Climate Change

  • AI could be most valuable in helping humankind fight its biggest threat – climate change. AI can:
  • Strengthen climate predictions
  • Enable smarter decision-making for decarbonising industries from building to transport
  • Work out how to allocate renewable energy.
  • Greening cities or using wind channel architecture to create ventilation are ways to help cities deal with extreme heat that can be guided by AI.
  • AI can also help reduce the effects of the climate crisis, such as by making smart grid designs and developing low-emission infrastructure.
  • What is the Impact of AI Technology on Climate?
  • Carbon Footprint: The climate impact of AI can be majorly attributed to the energy use of training and operating large AI models.
  • In 2020, digital technologies accounted for between 1.8% and 6.3% of global emissions.
  • At this same time, AI development and adoption across sectors skyrocketed and so did the demand for processing power associated with larger and larger AI models.
  • A main problem to tackle in reducing AI’s climate impact is to quantify its energy consumption and carbon emission, and to make this information transparent.
  • UNESCO’s Efforts: The idea of sustainability is rapidly entering mainstream debates on AI ethics and sustainable development. Recently, UNESCO adopted the Recommendation on the Ethics of Artificial Intelligence, calling on actors to “reduce the environmental impact of AI systems, including but not limited to its carbon footprint.”
  • In this context, tech-giants like Amazon, Microsoft, Alphabet and Facebook have announced their “net zero” policies and initiatives which is a good sign, but merely scratches the surface.
  • Issue of Developing and Underdeveloped Countries: These countries have been specifically facing challenges as most of the current efforts and narratives on the relationship between AI and climate impact are being driven by the developed West.

By competitiveworld27

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