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Artificial intelligence and sustainable technological future

Artificial Intelligence

The first pillar of Artificial Intelligence is machine learning, through which computers become able to learn and evolve. In technology, what happens is the logical processing of data and the identification of patterns that generate intelligence, this is called Machine Learning, with these technological advances have allowed us to improve the quality of life. Beyond economic and social resources, technology allows us sustainable global development.

Systems and tools enable improved energy efficiency and intelligent energy management. Therefore, most companies are only looking for efficient products supported by sustainable equipment.  Such as Virtual Reality, Internet of Things, Big Data, Artificial Intelligence, New Cloud Systems

Within these new trends, we also do not forget the smart cities or Smart Cities project. The main objective is to increase the efficiency and quality of services, reduce public spending, promote innovation and provide real-time information. This will make cities more resilient and advanced in IoT tools and Big Data analytics systems.

What are the benefits of sustainable development?

How can Artificial Intelligence enable a more sustainable society?

AI has shown great potential in increasing industrial production and automating certain types of human labor. It can also help the provision of food through precision farming systems or culture bioengineering and herbicides, and revolutionize medicine as we know it by using precision and personalized medicine. It could also enable low-carbon systems, creating circular economies and smart cities that make efficient use of resources and give preference to technologies such as autonomous electric vehicles, smart fixtures, and energy systems that integrate energy efficiency and renewable energy.

Artificial Intelligence can be a tool optimizing natural resources, with intelligent networks, predicting patterns of flora and fauna behavior, predicting temperatures, droughts or natural disasters, micro drones for pollination, prevention and control of over fishing, waste control or the creation of robots cleaning our oceans, monitoring agriculture , livestock and fishing and the protection of habitats and species.

Artificial intelligence and its contribution to sustainable consumption

Access to consumption is a primary consumer prerogative that, if not guaranteed to the different sectors of the population, makes all other rights and guarantees illusory. One of the goals of establishing a notion of access to sustainable consumption is to make the consumer even willing to pay more for a safer or more environmentally friendly product. That is, what is sought is to guide demand towards improved food quality and safety.  It is in this context that the provision of goods and services intended for consumers, by incorporating various Artificial Intelligence applications, have a great opportunity to guarantee greater quality and safety, charging, paradoxically, lower prices.

In this sense, it is possible to observe daily how the provision of certain services has been reconfigured. By setting a concrete example, the experience of watching a movie or listening to music today through new digital platforms has taken a huge leap in quality, significantly diminishing the price by which they are accessed.

Thus, the different derivations of Artificial Intelligence allow existing suppliers to significantly lower costs that were again much higher and, in parallel, give birth to new suppliers who, exploring that world, find original and useful services for consumers who are willing to pay for them. This market dynamics with the emergence of new players offering something different undoubtedly contributes to achieving access to consumption in a sustainable way

How can Artificial Intelligence inhibit sustainable development?

A major drawback of AI-based systems is that they are traditionally based on the needs and values of the nations in which Artificial Intelligence develops. If Artificial Intelligence and big data are used in regions with lack of ethical scrutiny, transparency and democratic control, Artificial Intelligence could increase nationalism, hatred of minorities and lead to slanted election results. One of the biggest risks of Artificial Intelligence is that it makes it possible to create automatic biases (such bias) occurs for example when Artificial Intelligence learns to replicate human biases by learning patterns in databases and making decisions based on race, gender or age in applications where such variables should not influence

The same innovation that could create very significant progress in the most important social, economic and environmental problems we face today can at the same time bring new risks. It is necessary for the technology sector to take control of these opportunities in sustainability, as well as the risks of the application of Artificial Intelligence. Without a doubt, the closer we get to implementing Artificial Intelligence applications.

We are at a critical turning point for the future of Artificial Intelligence. We need to create dialogue at the global level to develop the foundation that leads to a future in which Artificial Intelligence contributes positively to the achievement of all sustainable development goals. Postponing such dialogue may result in a future based on unequal and not sustainable Artificial Intelligence.

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