An Artificially Intelligent Politics

AI Will Know You Better than Yourself – It Will Knows How to Lie You.

What’s an idea? A simple approximation of reality.
An approximation is never exact, but at most it can be useful sometimes in making decisions.
But in an increasingly complex and interdependent society, an approximation is no longer enough.
That kind of policy that was based on ideas and ideologies is no longer necessary: it is useless if not destructive.
Yet, we continue stupidly and naively to believe in ideas and good intentions, instead of focusing on concrete results.
Jobs are not decided by decree, nor are they established by legal protocols, especially when the legislator in the first place would not be able to find a real job even for himself.
We need streamlined and indexed reforms, we need to build platforms that encourage solutions and not try to build artificial and inefficient solutions, minimizing costs for taxpayers.

And this is where Artificial Intelligence can help us because in most cases it speaks the “language of the real facts” and not the “it seems to me that it is”.
Now more than ever we need data to make the right decisions, not good intentions or intentions by well-meaning people.
Artificial Intelligence is often spoken of as a danger to society and jobs, often more out of ignorance than out of real knowledge of the facts.
Yes, it is true: Artificial Intelligence will automate an important portion of work, but not of jobs.
This means that jobs will not mainly disappear, but will become “lighter” and easier to perform, with a more transfer to the supervision of the final Output.
Moreover, those who have the skills to “ride” this technology, will be able to create themselves and create a potentially infinite amount of new jobs.
You just need to know where to look, and in an interconnected world it is in the most innovative ecosystems that you need to look.
Just as no one is good at everything, a nation cannot excel in every industry, but we must identify and classify the most innovative industries according to their economic, political and geographical context.
Thanks to the Internet, data about the progress and evolution of the rate of innovation of a specific industry are present in quantity (excuse me the pun) “industrial”.
Artificial intelligence that is able to identify and estimate the birth and growth of new forms of jobs for each industry would, therefore, be able to estimate and anticipate over time the evolution of human resources in our country for that specific industry.
Having estimates of potential forms of work in the near future means being able to define the Gap between the current skills of the world of work and those that will be necessary to perform those tasks.
Because unemployment is not about the lack of work, but mainly about the lack of specific and useful skills.
Therefore, by identifying the new tasks for each industry and defining who are the people who carry out those new tasks (age, sex, professional history, etc.), it is possible to identify and profile the pool of unemployed population (or at risk of unemployment, as it is important to prevent) that needs to be encouraged more towards the acquisition of future skills needed.
The training, being now digital and decentralized, would not even require huge costs, because of the fact that courses and lessons from the best professors and teachers in the world are already online in a language other than which we use.
Artificial Intelligence can also intervene on this aspect, translating the course into our language, thus making the best resources and skills available to the world in a democratic and practically free manner (and above all at a cost almost equal to 0).
A situation that would otherwise be impossible with frontal lessons and training, the quality of which is very variable and the costs of which are certainly very high.
Because in a globalized world with high competition, it is there where there is no training and skills that the main economic crises manifest themselves.
Added value and competitive advantage can no longer be based on cheap labor, but on cognitive skills and human capital that are different and specialized respect that of the rest of the world.
And to encourage the formation of skills is counterproductive to give the idea that it must be the state to “give you a job,” with the illusion of those who misinterpreted Keynes that this is how you create wealth.
This is because the legislator does not know and cannot in any way know which competencies create the most value for society: because the ideas he/she has on the real functioning of reality are precisely limited and approximate and it will never be able to have a clear vision like that which the data would provide.

Finally, but this will be discussed in one of the next article, the best way to redistribute wealth is not through “public hiring” for tasks that are not really necessary, but by bringing together, through incentives to venture capital, capital with highly specialized human resources that need the resources to start new projects or companies.

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