16 junio 2021

The One-Way Road to AI. Published on El

The dehumanizing process in HR sectors at corporations has begun, with a metamorphosis that implies a change from the application of exponential technologies to the replacement of human labor through artificial intelligence.  

As a result of the accelerated pace imposed by the pandemic in all activities that may be mentioned among the most successful and profitable industrial sectors, the workforce is facing staff cutbacks, and the new jobs created by exponential technologies do not compensate for the loss. What’s more, the market largely demands top-level professionals specialized in computers, system engineering, robotics and Internet communications. That is why the key is to direct education towards computer literacy and new technologies.

Article by Julián A. de Diego published in El Cronista on Jun 15, 2021

The digital era has led to debureaucratization in a paperless environment, where all processes are digital thanks to the implementation of different software programs and apps aimed at improving services and productivity for each system.  

One example of this process is the emergence of many unexpected capabilities, like in the case of banking and the use of legal tender, where alternative forms of payment have been introduced, leaving paper money aside in favor of extra-banking systems, e-wallets, financial companies or cryptocurrencies supported by blockchains.

We are at the dawn of AI, where machines and computers will think, act, reason, solve problems and behave as human beings.

Machine learning automates learning and the building of analytical models, adds in intelligence with every exercise, promotes progressive learning using Big Data, introduces deep neural networks interconnecting independent units, and studies learners’ intelligence to find the most adequate scenarios to improve intellectual development.

Graphics processing units provide the elements required by interactive data processing. App interphases are portable code modules that add functionality to already existing software packages. Even though in education a combination of in-person and online schooling is still promoted, the transformation in education is vertiginous. 

Monitoring large data sets helps discover people’s habits, costumes and preferences in their capacity as citizens, users or clients. Data mining techniques, for example, have been used, though amidst well-grounded questioning, to predict election results in big cities in the US, where actions may be manipulated to modify citizens’ will, reorienting and even changing it to support a certain political party. This is done in part by gathering personal information that is shared on Facebook and social media.

Web pages for e-commerce classify people’s preferences, identify what they want, expect and need, and then their preferences pop up whenever they go online, read the news, look for a product or want to buy something. People become a target, and are no longer protagonists. 

In this scenario, the Process of Human Beings Replacement or Substitution by intelligent machines begins: AI not only takes over using cognitive functions, but also manages to replace people’s will and redirect their preferences in a wide range of positive possibilities.  

Recent experiments have showed that it is possible to replace people’s spiritual and even emotional aspects, identifying each individual’s psychological and social type through facial sensors that not only recognize physical features but also read moods, whether they are paying attention to something or not, whether they are focused or distracted, whether they are sad, happy or excited, and even classify frustration levels. The university that tried this out had to stop because of the widespread criticism it received.  

If AI through computers and robotics may replace human labor and activity, it may also take over all the other activities where human beings are ineffective, where they take their self-destruction to unimaginable levels in wars and environmental disasters. The is–ought problem, the distinction between what ought to be and what really is would be constantly put to question.

You do not need to stretch your imagination that far away: Ray Bradbury (1929-2012) and Isaac Asimov (1920-1992) did it for us in their sci-fi and robot stories, creating three rules: #1. Robots will do no harm to human beings, not even by omission. #2. Robots must fulfill the orders given by human beings, except for those that clash with the first rule. #3. Robots must protect their own existence as long as such protection does not clash with the first or second rule.   

In 1968 2001 A Space Odyssey with the supercomputer HAL 9000 Stanley Kubrick depicts an AI uprising when human beings somehow lose their purpose. In The Terminator (1984), Skynet rebels and decides to destroy human race. And in I, Robot (2004) AI controlling robots is determined to control humanity to eliminate any form of violence or self-destruction. AI is being introduced in every organization at the public or private sector, and proves to be an irreversible scientific breakthrough that will open up a discussion on the new legal framework for robotics and computers, the scope and ethical, moral, legal and even philosophical constraints for rollout, and the restrictions with which those who create these systems should operate so that machines aid the common good and do not limit or harm fundamental rights and basic freedoms that are the essence of humanity.

Por Julián A. de Diego
Por Julián A. de Diego

Fundador y Titular del estudio “de Diego & Asociados”.  Abogado, Doctor en Ciencias Jurídicas.

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