How does Artificial Intelligence work and how was it created?

Artificial Intelligence (AI) is a field of computer science that focuses on creating systems capable of performing tasks that require...
8 May 2024

Table of contents

How does Artificial Intelligence work and how was it created?

Artificial Intelligence (AI) is a field of computer science that focuses on creating systems capable of performing tasks that require human intelligence.

It’s a technology that has profoundly impacted various aspects of our daily lives, from how we interact with technology to how companies conduct their operations.

In today’s digital age, understanding how this innovative technology works has become crucial to adapting and thriving in an increasingly automated and technologically advanced world.

Since its inception, it has been a fascinating topic that has led to numerous technological advancements. In this article, we’ll explore how it works and how it was created.

How does Artificial Intelligence work and origins of AI

What is Artificial Intelligence?

AI – Artificial Intelligence – is much more than a futuristic concept from science fiction; it is a tangible reality driving innovation across a wide range of industries.

To provide a definition, we can say that it refers to the ability of machines to perform tasks that typically require human intelligence. This includes activities such as learning, reasoning, and problem-solving.

From recommendation systems on streaming platforms to autonomous vehicles in development, AI is transforming how we live, work, and communicate.

But how did we reach this point of technological advancement? The history behind the creation of AI is fascinating and full of significant milestones and discoveries that have paved the way to today’s world, where AI is an integral part of our digital reality.

How was artificial intelligence created?

As evident, AI did not emerge out of nowhere; it has its roots in human curiosity and the desire to replicate intelligence in machines. But, how did artificial intelligence start?

Artificial Intelligence (AI) was created by a group of scientists, researchers, and pioneers in the fields of computer science and cognitive sciences.

There isn’t a single person who can be credited with the complete creation of AI, as it has been the result of decades of research and development by numerous individuals and organizations worldwide.


Subscribe today to SMOWL’s weekly newsletter!

Discover the latest trends in eLearning, technology, and innovation, alongside experts in assessment and talent management. Stay informed about industry updates and get the information you need.

Simply fill out the form and stay up-to-date with everything relevant in our field.


Some of the most prominent pioneers in the development of AI include Alan Turing, John McCarthy, Marvin Minsky, Herbert Simon, and Allen Newell, among others.

These visionaries made significant contributions that laid the groundwork for the emergence and evolution of Artificial Intelligence as we know it today.

In any case, the development of intelligent algorithms was a crucial step on the path to AI.

Concepts such as machine learning and artificial neural networks allowed machines to learn from data and past experiences, opening the door to a new world of technological possibilities.

Over the years, there have been significant advances in AI, from early chess programs to voice recognition systems and autonomous driving.

How does Artificial Intelligence work?

Artificial Intelligence (AI) works by using algorithms and mathematical models that enable machines to process data, learn from it, and make decisions based on that information.

These algorithms can be designed to mimic human thinking, allowing machines to perform intelligent tasks such as pattern recognition, decision-making, natural language processing, and more.

AI utilizes techniques such as machine learning, deep learning, and artificial neural networks to improve its performance over time, adjusting its models based on feedback received from data.

AI did not emerge out of nowhere; it has its roots in human curiosity.

Should Artificial Intelligence be regulated?

Artificial Intelligence (AI) is undeniably revolutionizing various aspects of our lives, from healthcare to finance and beyond. However, the rapid advancement of AI technology has sparked debates regarding the need for regulation. Let’s delve into this contentious issue.

Ethical considerations

One of the primary arguments favoring AI regulation revolves around ethical concerns. As AI systems become more autonomous and integrated into critical decision-making processes, questions arise about their impact on society. 

Issues such as algorithmic bias, privacy infringement, and the potential for misuse underscore the importance of establishing ethical guidelines and standards.

Ensuring accountability

Regulation can play a crucial role in holding AI developers and users accountable for their creations and actions. 

By imposing clear guidelines and responsibilities, regulatory frameworks can help mitigate risks associated with AI, such as accidents or unintended consequences. 

Additionally, accountability measures can promote transparency and trust in AI systems, fostering broader acceptance and adoption.

Promoting fairness and equity

Another crucial aspect of AI regulation is ensuring fairness and equity in its deployment. Algorithmic bias, where AI systems exhibit unfair preferences or discriminate against certain groups, is a significant concern. 

Regulations can mandate fairness assessments and transparency measures to identify and rectify biases, promoting inclusivity and equal opportunities for all individuals.

Balancing innovation and risk

While regulation aims to mitigate risks associated with AI, it must strike a delicate balance between fostering innovation and mitigating risks. Overly restrictive regulations could stifle technological advancements and hinder AI’s potential benefits. 

Therefore, regulatory frameworks should be agile and adaptable, capable of keeping pace with the evolving AI landscape while safeguarding against potential harms.

International collaboration

Given the global nature of AI development and deployment, international collaboration is essential in formulating effective regulatory standards. 

Collaborative efforts can harmonize regulations across borders, preventing regulatory arbitrage and ensuring consistency in AI governance. 

Moreover, shared best practices and knowledge exchange can enhance regulatory effectiveness and promote responsible AI development worldwide.

Artificial Intelligence (AI) was created by a group of scientists, researchers, and pioneers.

Protecting privacy and security

With AI’s ability to process vast amounts of data, concerns about privacy and security have become paramount. 

Regulations can address data protection, ensuring that personal information is handled responsibly and ethically. 

Moreover, stringent cybersecurity measures can safeguard AI systems from potential threats, such as hacking or manipulation, preserving their integrity and reliability.

It has also proven to be an advancement in the security and reliability of remote exams and certifications in both the educational and business sectors. Proctoring tools like SMOWL rely on AI to enable companies and organizations like yours to conduct assessments with complete integrity.

In this regard, we invite you to take a look at our plans. Additionally, you can request a free demo to see the potential of the tool firsthand.


Download now!

8 interesting

facts

about proctoring

Discover everything you need about online proctoring in this book to know how to choose the best software.

Fill out the form and download the guide now.

And subscribe to the weekly SMOWL newsletter to get exclusive offers and promotions.

You will discover all the trends in eLearning, technology, innovation, and proctoring at the hands of evaluation and talent management experts.


Share on:

Write below what you are looking for

Escribe a continuación lo que estas buscando