Blog

Why Do Humans are Afraid of Machine Learning (ML) / Artificial Intelligence (AI)?

Image Source: https://www.wallstreetotc.com/stephen-hawking-will-answer-ai-related-questions/219695/
Though Computer Scientists are pushing boundaries of what ML /AI can achieve, but in reality, this new technological developments are not welcomed wholeheartedly with open arms by everyone. One of the main reasons for this would be, all the leading fronts of science and technology are passing the admonitory statements about imminent threats that ML/AI can impose on the real world. One of the lead tech giants even moves one step further by stating that the potentiality of ML/AI can annihilate the humans’ future.
Elon Musk, Co-founder of Tesla, One of the household names of AI Pioneer in market, tweeted that, I’m really quite close, I am very close, to the cutting edge in AI and it scares the hell out of me”.  And also says, “AI is far more dangerous than nukes. Far. So why do we have no regularity oversight? This is insane.
Physicist, Stephen Hawking says, “The development of full artificial intelligence could spell the end of the human race.
This article doesn’t justify those statements; instead, it intends to summarize the study of insights in them.
Image Source: https://hicomm.bg/news/naciyata-ovladyala-izkustveniya-intelekt-shche-pokori-sveta.html
Image Source: https://thereviewstories.com/difference-between-artificial-intelligence-and-machine-learning
Before diving further, let’s try to understand the basic definitions of ML/AI. Let’s begin with the word, learning: it is the process of acquiring new things from past mistakes or modifying the existing skills, behavior, knowledge, and values of the system. If a machine does all this, it is termed as machine learning, and giving such intelligence to the system is called artificial intelligence. In other technical terms, the definition is slightly different, ML is more of computations are required, whereas in AI more logic is indulged. In simple terms, we can achieve AI through ML.
This intelligence giving more strength to the said negative belief system in humans, what matters in society is that, “The very important fact is that, still there is so much to know about the new technological advancement we humans just don’t get to know” and sometimes we won’t be ready to accept this out of misconception in perceiving them. Humans tend to be afraid of what they don’t know and what they don’t understand. The initial estimate of achieving the complete AI is by 2029, says Ray Kurzweil. Are we really ready to deal with this? The following summary has a negative answer to this question.
Image Source:  http://cimarapg.blogspot.com/2011/11/voce.html
According to experts, humans are afraid to AI because we think and act. if AI is possible, a machine does the same work as human do. To justify, Bell Man and Winston had to say this,
Image Source: http://www.sohu.com/a/128052818_372496
1) Machines can “THINK and ACT HUMANLY”: activities that include decision making, problem-solving, -Bell Man. 2) Machines can “THINK and ACT RATIONALLY”: they can perceive any odd situation and act accordingly. -`Winston.

Other Experts opinions can be

3) Change is scary, AI can change everything.

Image Source: https://twitter.com/PDMcomco/status/1034558585173360641
4) Humans believe in superpowers, they think AI could dominate them in everything. 5) Some Americans even believe that JAPAN and CHINA might become the dominant economy in the world. 6) Humans have the constant pressure of being in the top of the game; they find out that AI Systems are real competitors. 7) Humans are less predictable, we really don’t know what we are capable of.
Image Source: https://www.92to.com/jujia/2017/04-12/20341798.html
8) We tend to believe that Machine learning is Humans vs Machines, but it does never be. So the experience of this study says that, machine learning and artificial intelligence, are just tools built by humans. The next major question comes in a way is that, what if they intend to build for the wrong things. What would happen if we make mistakes in designing them, are they going to treat humans as lower beings? If yes, it would be the undesirable thought for humans. Because a person with high IQ is called super intelligent, what if a bad person has the same High-level IQ, this realization horrifies the humans. But ML/AI is just the algorithms which can be used in right or wrong ways like everything else exist in this universe. So the human concern is just how they are put to use, not as a method to taking jobs away, because humans unknowingly accepted it. Humans’ assistance is required to build AI/ML, and make it operational, thus no question of threat rise to the existence of human life. And these are just algorithms designed by humans, and they act according to what we defined them to be, which concludes AI mistakes are humans mistakes. And Humans are really worried about committing mistakes. This study ascertained a categorical reasons that, humans are just afraid of change, that lead to worry about AI/ML developments. But this is to clarify that no as such worries are necessary, it just humans that are the linchpins in operating this mechanisms.

More Blogs

Demystifying Vector Databases: Unleashing the Power of High-Dimensional Data

A vector data store is a specialized database designed to store high-dimensional embedding representations of diverse data types, including audio, video, images, text, and more. One of its core functionalities is the ability to efficiently search for vectors within the store that closely resemble a given query vector.
Vector stores streamline the process of storing embeddings and conducting similarity searches among these vectors, simplifying the management and retrieval of high-dimensional data representations.

Read more

Enhancing Customer Experience with GenAI Applications

In this blog, we will explore the creation of GenAI applications that significantly enhance the customer experience by leveraging OpenAI’s Large Language Models (LLMs) through their APIs, as well as key AWS services like Amazon Kendra, AWS Transcribe, and AWS Polly. Additionally, we’ll discuss the pivotal role of AWS S3 and In-Memory Cache for storing indexed data, chat history, and serving the GenAI application’s various functions

Read more

Evolution of Application Integration and API First Approach

Over time, the landscape of application integration has undergone significant changes. We’ve moved from integration within Mainframes to traditional file-based communication to more advanced methods.

In the ever-evolving digital landscape, APIs (Application Programming Interfaces) have become a crucial component in various domains, including e-commerce, banking, social platforms, and enterprise applications, enabling seamless communication between software components and services.

Read more
Contact us

Partner with us for Comprehensive IT

We’re happy to answer any questions you may have and help you determine which of our services best fit your needs.

Your benefits:
What happens next?
1

We Schedule a call at your convenience 

2

We do a discovery and consulting meeting 

3

We prepare a proposal 

Schedule Consultation