I was recently invited by CNBC TV-18 on Twitter Spaces with other industry leaders to speak about Sustainability and how tech and AI can help organizations achieve sustainability goals. But preparing for the conversation and also going to the conversation, I started thinking a lot about how today we are creating more need for:

• Data

• Technology needs

• Processing needs

which is putting more stress on the need to consume environmental sources.

Artificial intelligence (AI) is a powerful tool that humans can use to make sense of data, manage processes and solve problems. But as AI technology gets more sophisticated, there is a risk that it could also be used to harm. That's why it's essential to ensure that artificial intelligence is developed responsibly and consider the potential risks and benefits.

One way to ensure that AI is developed responsibly is to focus on making it "green." Green AI refers to artificial intelligence that is designed and operated in a way that minimizes its environmental impact. Developing green AI can help ensure that the powerful tool of AI is used sustainably and beneficially for both humans and the environment.

There are many reasons why it's essential to develop green AI. For one, Sustainability is a crucial concern for both individuals and businesses. With the world's population growing and resources becoming more scarce, it's essential to find ways to use resources more efficiently. Green AI can help do this by reducing the energy consumption of data centers and other AI infrastructure.

In addition to being more sustainable, green AI can also be more efficient and cost-effective. For example, using renewable energy to power data centers can save money on energy costs. And designing data centers and other AI infrastructure to be more energy-efficient can further reduce costs.

Developing green AI is also important because it can help to ensure that AI is used responsibly. As AI technology gets more sophisticated, there is a risk that it could be used for nefarious purposes, such as creating biased algorithms or infringing on people's privacy. By ensuring that AI is developed responsibly, we can help avoid these risks and ensure that AI is used for good.

There are many benefits to developing green AI. Sustainability, efficiency, and responsible use are just a few reasons it's essential to focus on making AI more green. In addition, we can help make sure that this powerful tool is used to benefit both humans and the environment.

What is green AI and why is it essential to develop responsibly?

Green AI is an important topic because it refers to how artificial intelligence should be developed to minimize its environmental impact. For example, suppose an artificial intelligence system was tasked with optimizing energy consumption in a data center. In that case, it might decide to run the data center at total capacity all the time to minimize energy consumption. However, this would result in a large carbon footprint and be detrimental to the environment. Therefore, it is crucial to consider AI's potential risks and benefits before implementing it to avoid causing harm.

The benefits of developing green AI

One way to make AI better is to make sure that AI is "green" – designed and operated to minimize its environmental impact. We can help ensure that the technology is used responsibly and sustainably by developing green AI.

There are many potential benefits of green AI. For example, green AI could help us to:

• Reduce our reliance on fossil fuels: Green AI could help us develop renewable energy sources and reduce our dependence on fossil fuels.

• Conserve resources: Green AI can help us use resources more efficiently and conserve them for future generations.

• Improve agricultural productivity: Green AI can help us improve farm productivity and reduce the need for land, water, and other resources.

• Combat climate change: Green AI can help us monitor and respond to climate change and develop mitigation and adaptation strategies.

To realize these benefits, green AI must be developed responsibly. This means considering the potential risks and harms resulting from its use. For example, green AI could be used to:

• Monitor and control our behavior: Green AI could be used to monitor our behavior to improve resource efficiency. However, this could also lead to privacy concerns and a loss of autonomy.

• Manipulate our emotions: Green AI could be used to manipulate our emotions to influence our behavior. Unfortunately, this could lead to a loss of control over our own lives.

• Displace human workers: Green AI could be used to replace human workers in various industries. However, this could lead to unemployment and economic insecurity.

Thus, green AI must be developed responsibly, considering both the potential risks and benefits.

How can you make your artificial intelligence more environmentally friendly?

There are a few ways to make your artificial intelligence more environmentally friendly. First, try to use recycled or sustainable materials whenever possible. Second, be conscious of the amount of power your AI system is operating and optimize it for efficiency. Third, ensure that any data you collect is cleansed and organized to minimize its environmental impact. Fourth, refine the need for data and focus on essentials, then hoarding. Fifth, focus on eliminating redundancies on the process within the organization, thereby reducing data and technology needs along the way of a customer/process journey. Finally, consider the potential risks and benefits of AI development before proceeding with any project. By taking these steps, you can help to ensure that your AI system is as green as possible.

Examples of businesses that are using green AI

Several businesses are using green AI to help them become more sustainable. For example, IBM has developed a green AI platform called IBM Watson Earth that helps organizations make more informed decisions about Sustainability. The platform uses cognitive computing to analyze data from satellite imagery, weather information, and other sources to help identify and track environmental trends.

Another business that is using green AI is Google. Google has developed a Green Data Center Calculator tool that helps businesses determine how much energy they can save by making their data centers more efficient. The tool uses machine learning to analyze data from real-world deployments and recommend the most effective energy-saving measures.

These are just a few examples of businesses using green AI to become more sustainable. As the demand for green AI grows, more companies are likely to develop AI tools and services to help achieve sustainability goals.

When it comes to artificial intelligence, many potential benefits and risks need to be considered. As we continue to develop these technologies, it's essential to be aware of how they can help us and harm us. We need to make sure that AI is developed responsibly, taking both the potential benefits and risks. We also need to make sure that AI is "green" – that is, designed and operated in a way that minimizes its environmental impact. By doing all of this, we can ensure that AI helps us solve some of the world's most pressing problems while reducing its risks.