HomeTECHNOLOGYARTIFICIAL INTELLIGENCEAI As A Tool For Improving Social Life

AI As A Tool For Improving Social Life

AI makes it conceivable to gather and examine a lot of data, which could enhance processes in various areas, including urban spaces, transport, and medical services. Artificial consciousness (AI) presents a tool kit that, over the long haul, could essentially work on the administrations and foundation given to city inhabitants worldwide. However, by putting people at the center of technology’s continuous development and improvement, it will be necessary to work so that residents have confidence in new artificial intelligence innovations. 

Only in this way can these be implemented on all continents, shaping our communities and helping to design and implement cities that are community-friendly and able to offer a better quality of life. Artificial intelligence (AI) will become a game changer in contemporary life. As technology has progressed, it has been possible to gain greater awareness of the benefits AI can offer us. Perhaps not enough attention has been paid to the great benefits that AI can offer now and in the future. Therefore, harnessing the benefits of artificial intelligence could improve people’s quality of life and help build environmentally and economically sustainable realities by providing more efficient processes and better automation, sustainable practices, and medical care.

AI In The Design Of New Living Spaces

The housing situations of the global population are one of the main issues at the center of today’s change, so let’s see what benefits artificial intelligence can offer in the design of new cities or districts or their regeneration and the management of cities and communities. More and more people are migrating to cities: By 2050, the United Nations (UN) predicts cities will host 68% of the world’s population, rising from the current 7.6 billion to 8.6 billion in 2030, 9, 8 billion in 2050, and 11.2 billion in 2100. It is a challenge for cities that will not be easy to overcome.

Leaders and policymakers increasingly find on their table the issue of how to develop transport infrastructure, supply and distribute energy resources, tackle crime prevention, develop quality health services and subsequently also be able to manage peaks in demand for services due to unexpected epidemics and what else is required by the growing number of city dwellers. Indeed, artificial intelligence will significantly support the optimization and even drastic reduction of energy consumption and environmental pollution.

AI In Transport Infrastructure Projects

In the UK, the Mayor of London has developed a transport strategy that aims to achieve 80% of journeys through London by 2041 on foot, by bicycle, or by public transport. For the city to successfully achieve this, it is essential to develop a comprehensive analysis of how and when people use existing transport systems. Previously it was only possible to collect data by counting people manually, which gave a minimal and unreliable idea of ​​the whole picture. Artificial intelligence has offered exciting opportunities to increase efficiency and analytical capacity. 

Not only has it made it possible to collect data without the need for human operators, but it has also made it possible to analyze large amounts of data 24 hours a day and, above all, to facilitate the development of predictive analyzes capable of significantly optimizing processes in several areas. Only with a clear view following comprehensive data, Transport for London (Tfl) has recently started a trial to develop a traffic overview and a series of analyzes thanks to artificial intelligence programs that use scanners with a 98% accuracy rate to identify the flows of vehicles and people through cities. 

Advanced technology is of great support to the work of London planners, who now redesign areas of the city having in mind the existing traffic patterns and therefore, for example, can prioritize the construction of cycle paths on those roads traveled. by a large number of cyclists.  Attention to data protection and confidentiality is a fundamental aspect of implementing artificial intelligence programs, and the attention on this point is increasingly relevant. In the case presented above, to reassure you on this point, Transport for London states that all the videos collected by their AI scanners are deleted in seconds and that no personal data is stored. For the development of AI, these methods of attention to data privacy must be followed by companies in any sector.

AI For The Sustainable Use Of Energy

Through the analysis of historical data, it is possible to predict, for example, the overall expected energy requirement for a building and much better for an entire district. This will allow the energy supplier to decide where to allocate the available power and better manage the daily/monthly peak and trend. And not only that, this possibility has led to the development of a new business model and “aggregators.” 

An aggregator is a new type of energy service provider that can increase or moderate the electricity availability of a group of consumers based on total expected demand. The goal is to optimize production, distribution infrastructure, and energy consumption both technically and economically. The aggregate pool can include generators and consumers and operate in one or more electricity markets. Artificial intelligence has the potential to integrate bottom-up data analytics, starting with depersonalized user or apartment information and building predictive expectations about buildings, districts, or even a complete view of the city. Similar applications are also possible for water networks.

AI In The Health Sector

In medicine, AI can facilitate remote medical analysis, assist in the development of predictive medicine, and provide vital assistance in circumstances where doctors and nurses cannot cope with the increased demand for services. Growth in the healthcare sector is already accelerating, with the number of healthcare-focused AI startups increasing from under 20 in 2012 to nearly 70 in mid-2016.

In London, the National Health Service, NHS England, recognized the vast potential of the technology in managing already pressed services. They will soon set up an artificial intelligence lab to provide research and improved patient care. Meanwhile, in the United States, Accenture’s analysis predicts that artificial intelligence applications could save the US health economy $ 150 billion by 2026.

Conclusions

Looking to the future, the combination of the Internet of Things (IoT) and AI could generate the power to deliver even more innovative, cheaper, and more effective solutions to global, inclusive, and integrated challenges. However, there is a need for a change in mindset, and a great deal of attention should be placed on the ethical value that AI can provide, from manual skills to predictive analytics. The breadth and pace of change are unprecedented, and the rise of technologies, primarily artificial intelligence, has the potential to significantly improve the quality of life for millions of people.

However, the development of this technology must be guided by solid values ​​and principles as this will inevitably affect how it is applied and implemented, whether it improves people’s lives or the other way around. We cannot miss the opportunity to harness these technologies for the benefit of humanity, and there are many ways to ensure this. First, any technological evolution should be approached with humanity in mind, using artificial intelligence and algorithms to develop decision-making and forecasting processes to complement human creativity or reduce the margin for error.

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