Introduction

AI transform our lives ,work potentiality and solve the complex problems. While ,however, it also comes with the challenge of sustainability. One side the AI exploded as rapidly as its growth, and on the other side, there is an urgent need to reflect how its long term impacts influence the environment,  workforce ,and boarder society. And how to solve these kind of  problems. This article describe on the concept of AI sustainability with real-world examples on each step.

What is Sustainable AI?

Sustainable AI refers to the development of Artificial Intelligence in such a way that minimize problems and have a reduced effect on the environment. It promotes not only technical progress (minimium energy consumption ,addressing and resolve the AI bias systems problem )and also long- term results for society .

For Example

Google’s DeepMind Reduces Data Center Energy use

In the data center most of the energy is consumed in organizing the data. So Google’s subsidiary, DeepMind developed AI-based cooling Systems of the data centers that cut power consumption by almost 40%. This is one of the examples and a continuation of Google’s pursuit of making energy-efficient sustainable AI https://deepmind.google/

Sustainability of AI in Models

Many AI Models  generates carbon footprint like ChatGPT 3.0 required highly enormous computational power that generating the efficient carbon emissions. Microsoft‘s “AI for Good“ has created tools for disadvantaged communities around health and education that make AI accessible and equitable across people groups https://openai.com/

Environmental impact of AI

AI is significantly energy most intensive, utilizing  a high quantity of computational powers, so cause high energy consumption. For efficiency of environment ,most companies developing ,eco friendly ,user friendly ,energy efficient AI Models ,enhance their performance and promoting Sustainability.

For Example

Tesla’s AI energy-efficient Chips

Tesla Company generating most energy-efficient Chips than traditional chips . These Chips consume less energy than any others , used in the automotive vehicle Industries’. these contribute toward  building  a more  environmentally friendly in the electro-motive industry fields. https://www.tesla.com/

Facebook’s Energy-efficient data Centers

For Energy-efficient, to reduce the amount of energy , conserve resources, Facebook Uses AI to cool down in data centers efficiently . Help reduce the negative impacts of Facebook in the environment through the development of sustainable technology infrastructure .

IBM’s Quantum Computing Research

IBM researches quantum computing and will soon take on intensive calculations with much less energy. AI solutions will, therefore, be more energy-efficient and lower-consumption.https://www.ibm.com/us-en