I have been a leader in reflection on the operationalization of AI for over 35 years and I am concerned with a disaster

To do this, its decrees would facilitate the construction of AI infrastructure, more easily accelerate the authorization process by eliminating any monitoring and guarantees that it believed expensive, and by pushing the export of AI products manufactured by America.

This is only the last salvo of what is now a world race on AI weapons, supported by billions of dollars in investment by technological companies and large and small venture vents here in the United States and around the world. I have conducted academic research on AI responsible for more than 35 years, I am at the forefront of the operationalization of AI – from academic research pioneer to the adoption of analysis and AI companies in all industries. I am concerned about a disaster in the making, giant technological companies winning the battle for the arms race for current AI, but undoubtedly losing war in terms of creating a completely destructive impact on society.

Great technology will become colossal tech

Earlier this year, the four dominant technology giants – Alphabet, Amazon, Meta and Microsoft – said they had planned to spend some $ 320 billion in AI this year.

In order not to be left behind, the EU recently mobilized billions of euros to finance and build Gigafactories AI, in order to become a world leader in the field. The president of the Ursula von der Leyen commission, “AI will improve our health care, stimulate our research and our innovation and stimulate our competitiveness. We want AI to be a force for good and growth … “

Then there is India. The National Mission of the Indeai, launched last year, has a budgetary expenditure of approximately $ 1.3 billion in the next five years intended for infrastructure and financing startups of AI, with a smaller part allocated to research and development and centers of excellence, focusing on sustainability, health care and agriculture as priority.

And we cannot ignore the “sleepy giant” in the past, China, which aims to reach the world leadership of AI by 2030, when its vast investments would appreciate its AI market at some 1.4 billion of dollars!

The return on investment on all this money is difficult to plan, apart from the fact that Big Tech will become colossal technology worldwide. In the end, however, the success will be measured not by how much money companies and countries invest and earn, but how all this AI is used and what protections will be promulgated to guarantee that its countless uses are constructive rather than destructive.

For the moment, there are so many unanswered questions to think, questions that few have ventured to answer honestly and fully because there are both too unknown and for the most part, the industry is completely without hindrance.

Employment crisis brewing

Consider an example, the job factor. In other words, who are all the people who will work on the plethora of AI initiatives present and future. A shortage of qualified personnel is already acute in the technology industry, with a study by Randstad, the international human resources consulting company, noting that a little more than a third of business employees have examined by saying that they have received training in the past year. Only one in five baby boomers had access to IA upgrading opportunities. And quite alarming, more than seven in 10 workers who say they are qualified in AI are men, while only 29% are women.

This rarity of AI qualified workers does not take into account the rapid progress of technology in relation to the time necessary to form an individual in this technology. Although it can vary considerably, depending on the complexity of the AI model, the formation of a person can take several months. Workers do not only have to learn new concepts and models of AI, they must “learn to learn” in a world where IA innovations arrive quickly and furious. For companies, this is another important financial investment in education and training – a completely useless waste because there is no predictable return on investment.

Then, there is the perception that AI will move humans on the labor market, because it is faster, cheaper and more efficient and effective. Companies that even consider such a state of mind to be forgotten. In fact, for companies that strive to do more workforce using AI assistants to develop code, I say good luck. You always need qualified software engineers and will always do so. However, a recent report shows that there has been an alarming drop of 34% of the demand for software engineers from a peak of 2021.

Thus, rather than concentrating as much on the adoption of autonomy, companies must consider AI as an increase, a collaboration between machine and human. Otherwise, they can win the battle in the arms race of the current AI, but they will certainly lose war because the impact on society will be nothing less than catastrophic.

The issue of programs

There is also another disaster in the making. According to the World Economic Forum, technological companies spit more emissions from the management of massive data centers necessary to supply AI systems. Microsoft recently announced that its carbon dioxide emissions have jumped almost 30% since 2020 due to the expansion of its data centers, which are supplied by oil and gas. Energy consumption explodes and there does not seem to be an end in sight. It is a toxic equation: more power, more air pollution. Ironically, this comes at the same time as these technological companies – like those of so many other sectors that stimulate global economies – had promised clear steps in the next two decades, if not earlier.

Of course, at a given time, as alternative energy sources such as solar, wind and nuclear energy become more widespread, these results may decrease. And AI has the potential to play an essential role in reducing carbon footprints, optimization of energy efficiency and acceleration of green technology. Indeed, even if it seems only a split quantity, AI has the potential to reduce global carbon dioxide emissions by 4% by 2030, according to a report by the World Economic Forum.

In addition, AI has other societal advantages. It accelerates research and innovation in various scientific disciplines, leading to important breakthroughs in fields such as the discovery of drugs and the science of materials. MIT researchers have developed AI models that improve the accuracy of climatic forecasts by analyzing large data sets, helping a better understanding and attenuation of climate change impacts. In addition, the integration of AI into climate science has led to an improvement of 30% of the precision of weather forecasting models, improving the ability to predict and react to extreme weather events.

With such a conflict between the potential of society’s good and that for a lot of trouble, many wonder if there is common ground, and is located with unified global regulations from the whole AI industry. The fact is that the cat has already left the bag – each country has an AI. So, I would say that it is less regulation and more use of AI in a responsible manner while gaining the confidence of users. In other words, there must still be a certain regulation, but it must be combined with common sense. It must be advanced at a rate that the company finds acceptable and wins the confidence of individuals and the collective whole on the short and long -term impacts of technology, rather than growing them in the throat.

The airline model that was adopted after the First World War and which has evolved in the years that followed an ideal corollary. At the time, as commercial plane trips became a transport option, security measures were limited by existing technologies, leading to many accidents that could have been prevented. But these accidents served as precious lessons for aviation experts. In 1926, the creation of the Federal Aviation Administration, which was responsible for improving flights at the national and international level. Rules have been established for airways and air traffic. Licenses for pilots and maintenance technicians have become compulsory, as well as certification of repair stations and their crews. Manufacturing standards for air value have been developed. And the conceptions of the aircraft themselves have been considerably improved with innovations such as radar systems, cabin pressurization, communication technology and even AI itself. Today, air journey is the safest mode of transport.

AI could possibly be the safest mode of innovation on several levels and in industries at all levels. But you really need to be safe and it must be secure, like the black box of an airplane. It is only then that it will be adopted by all sectors and the return on investment will have a real value.

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