For the first half of the 20th century, the concept of artificial intelligence had an almost exclusively meaning for science fiction fans. In literature and cinema, Androids, sensitive machines and other forms of AI were at the center of many brands of High Science Fiction – Metropolis has Me, robot. In the second half of the last century, scientists and technologists began to seriously try to achieve AI.
Brief history of the impact of AI on society
During the 1956 Dartmouth summer research project on artificial intelligence, co-host John McCarthy introduced the expression of artificial intelligence and helped to incubate an organized community of IA researchers.
Often, AI has exceeded the real capacities of everything that researchers could create. But in the last moments of the 20th century, significant progress of AI began to shake off society as a whole. When Deep Blue of IBM defeated the chess master Gary Kasparov, the reigning champion of the game, the event seemed not only a historic and singular defeat in the history of chess – the first time that a computer was beating a Best player – but also a threshold had been crossed. The thinking machines had left the kingdom of science fiction and entered the real world.
The era of the megadonts and the exponential growth of the computing power in accordance with the law of Moore allowed the AI to pass through the gargantesque quantities of data and to learn to carry out tasks which had been accomplished previously exclusively by Humans. The coupling of a generative AI with large language models to create the Chatppt in 2022, its subsequent iterations and its related algorithms, have served as proof of concept that automatic learning could produce much more powerful and captivating technologies than the Anterior chatbots.
The effects of this Renaissance machine have permeated society: voice recognition devices such as Alexa, recommendation engines like those used by Netflix to suggest which film you should then watch according to your visualization history, and the modest steps taken By driverless cars and other autonomous vehicles are emblematic of a rudimentary stage of the 21st century. Chatgpt 4, Dall-E, Midjourney and other contemporary generative AI systems are currently disturbing most of the commercial sectors. But the next five years of AI development will likely lead to major societal changes that go far beyond what we have seen to date.
How will AI have an impact on the future?
Speed of life. The most obvious change that many people will feel throughout society is an increase in the tempo of commitments with large institutions. Any organization that regularly engages with a large number of users – companies, government units, non -profit organizations – will be forced to implement AI in decision -making processes and their activities of public supporters and consumers. The AI will allow these organizations to make most of the decisions much faster. Consequently, we will all feel life accelerate.
Broad efficiency gains. Commercial companies will almost certainly be forced to integrate and use a generative AI to improve efficiency, profitability and, more immediately, efficiency. The duty of companies to increase the value of shareholders and the fear of delaying the competitors who integrate and deploy AI in a more aggressive way will make an imperative practically irresistible: to fully adopt the AI or see your investors will become downside While the peers advance.
End of privacy. The company will also see its ethical commitments tested by powerful AI systems, in particular privacy. AI systems will probably become much more informed about each of us than ourselves. Our commitment to protecting privacy has already been seriously tested by emerging technologies in the past 50 years. While the cost of research deeply of our personal data falls and more powerful algorithms capable of assessing massive amounts of data will become more widespread, we will probably see that it was more of a technological obstacle more than Ethical commitment which led society to consecrate confidentiality.
Human-Ai association, or keep humans in any process that is substantially influenced by artificial intelligence, will be the key to managing the resulting fear of the IA that permeates society.
Storm of AI. We can also expect the regulatory environment to become much more difficult for organizations using AI. Currently throughout the planet, governments at all levels, local to national to transnationals, seek to regulate the deployment of AI. In the United States only, we can expect a grove of law of AI as city, states and federal government to write, implement and start applying new laws on AI . And the European Union will almost certainly implement its long -awaited regulation of AI in the next six to 12 business quarters. The legal complexity of doing business will increase considerably over the next five years. The AI IA AI Act, the first major AI global regulatory system, wrote a final vote in spring 2024, and many observers imagine that it will establish a standard for the clear legal application and efficient. But large multinationals work hard to water their secure dropouts and challenge the regulations. Indeed, considerable uncertainty defines the regulatory arena of AI on both sides of the Atlantic and will probably continue to do at least several years.
Human-Aai Teaming. A large part of the company will expect companies and the government to use AI as an increase in human intelligence and expertise, or as a partner, to one or more humans working towards an objective, In contrast to using it to move human workers. One of the effects of artificial intelligence being born as an idea in centennial science fiction tales is that the tropes of gender, heads of their dramatic importance of artificial intelligence as an existential threat to humans, are buried deep in our collective psyche. Human-Ai association, or keep humans in any process that is substantially influenced by artificial intelligence, will be the key to managing the resulting fear of the IA that permeates society.
In what industries will AI have a great impact?
The following industries will be the most affected by AI:
Education. At all levels of education, the AI will probably be a transformative. Students will receive educational content and training adapted to their specific needs. AI will also determine optimal educational strategies based on the individual learning styles of students. By 2028, the education system could be hardly recognizable.
Health care. The AI will probably become a standard tool for doctors and medical assistants responsible for diagnostic labor. The company should expect the precise medical diagnostic rate to increase. But the sensitivity of patient data and the complexity of navigation in the laws that protect them are also likely to lead to an even more complicated medical environment, to change the expectations of patients concerning property and access to their medical data, and an increase in costs of doing business.
Finance. The treatment of natural language combined with automatic learning will allow banks and financial advisers as well as sophisticated chatbots to effectively engage with customers in a range of typical interactions: credit monitoring, fraud detection, fraud, fraud detection, fraud detection, fraud detection, fraud detection, fraud detection, fraud detection, Financial planning, insurance and customer service policy issues. AI systems will also be used to develop more complex investment strategies and quickly executed for major investors.
Law. We can expect to see that the number of small and medium -sized enterprises fall in the next five years, while the small teams of one to three humans working with AI systems do the work that would have required 10 to 20 lawyers In the past and do it is faster and more profitable. Given the appropriate prompts, the generative AI is already able to provide rudimentary summaries of applicable laws and the language clause project. Based on the recent years of AI development and presume that it continues to be, by 2028, the number of human lawyers in the United States could be reduced by 25% or more.
Transportation. The short -term future will see more autonomous vehicles for private and commercial use. Cars that many of us lead to work, to trucks carrying goods along the highway, to the craft space carrying humans and cargo to the moon, transport by autonomous vehicles will probably be ‘The most dramatic example of our arrival in the AI era.
Examine the long -term dangers of AI
The idea that AI has an existential risk for humans has existed almost as long as the concept of AI itself. But in the past two years, when the generator has become a burning subject for discussion and public debate, the fear of AI has taken more recent nuances.
We can say that the most realistic form of this anxiety of AI is a fear that human societies lose control of AI compatible systems. We can already see this voluntarily occur in use cases such as algorithmic trade in the finance industry. The interest of these implementations is to exploit the capacities of synthetic minds to operate at speeds that exceed the fastest human brains by many orders of magnitude.
However, the existential threats that have been posed by Elon Musk, Geoffrey Hinton and other AI pioneers seem to be best like science fiction, and much less hope than a large part of the fiction of the IA created 100 years ago.
The more likely long -term risk of AI anxiety in the present is missed opportunities. Insofar as organizations at this time could take these claims seriously and under inform according to these fears, human societies will lack significant efficiency gains, potential innovations that arise from the human association and perhaps Even new forms of technological innovation, scientific the production of knowledge and other methods of societal innovation that powerful AI systems can indirectly catalyze.
Michael Bennett is director of educational programs and business manager for AI responsible for the Institute for Experiential Artificial Intelligence at the Northeastern University in Boston. Previously, he was director of learning programs by experiential immersion at Discovery Partners Institute at the University of Illinois. He has a Harvard Law School JD.
