Anant Khurana — Published On March 26, 2021 and Last Modified On March 30th, 2021
Beginner Machine Learning
This article was published as a part of the Data Science Blogathon.

” We create our own demons “

The destructions caused by Natural Disasters, Harmful effects from rising in earth’s temperature and Depletion of the Ozone layer. Everyone is concerned about it nowadays. Some might be contributing to help in the cause while some are still not awakening. But have you ever thought is it worth saving the world by supporting these causes while we are trying to build another threat for us in the form of AI?

Let’s think about the advancements that AIML can bring to us. It can help us by providing so much in the field of Healthcare, Army, Logistics, Automation Industry, Interact with Nuclear radiations, Providing Automated Analytics reports, and many other marvelous applications. But, at what cost. Did the people think while they were extracting oil, natural gas, and other natural resources about the harmful results of their applications? Nobody thought of it because we were all interested in the immediate results which landed us to the part where moving forward is another destructing step and taking a step back is landing mankind to the reverse evolution.

“Artificial Intelligence is the new Electricity”

Mankind is vulnerable to threats from even the very small irregularities like a virus. We might be very excited about the wonderful results of AI. But, we should also prepare for the threats it will bring to the world. The damage it is causing and the damage it has already caused.

Let’s take a very simple scenario :


In the above equation, we are all aware Y is a linearly dependent variable on the term X. But, let us think of m and c. In the equation, if m and c are dependent on the time then this equation after every moment will have a different form. Those forms sometimes can be so random that we might be aware of the process going on but we won’t be able to get those results that our ML model can have. In this scenario, the main point to understand is that even a small modification in an approach can take us beyond the scope of human predictions. Machine Learning is a science-based on Mathematical approach which will someday be hard to understand and conquer.


Challenges in AI

AI along with the applications bring few unanswered questions :

 Job Automation 

 With the introduction of AI-based bots the very fundamental question raised was the void it will create in the job sector. With advancements in the monitoring systems in the industries, we are creating a large gap in the job sector by replacing the people who work for specific jobs. For example – Most of the companies are trying to build automated ticket resolution which might be very effective but creating a risk for the job of an individual. The important question is – Is AIML sufficient to provide enough opportunities to accommodate everyone?

 Data Privacy and Safety 

 The very fundamental aspect of a successful ML model is to have enormous useful data. But, providing all the information to the solution brings another concern which is how much our data is secure and safe. Is it vulnerable to hacker attacks or Is it sufficient to safeguard the personal information of people? The safety concerns are not just limited to data privacy with advancement in automobiles the most important question is  – Who is responsible for damage caused by the driverless cars due to the complex real-life situation?  

 Biased Decisions

The AI-based system cannot understand emotions, so when it comes to using your heart along with the brain the system might not be considered very successful. Along with the lack of emotions, there is a various factor which might result in not so efficient decisions like a system biased towards masculine factor will eliminate the success that females can bring in that sector. Due to the various minorities present our system might ignore the importance of those minorities resulting in a biased system. The biggest question it raises is – Who is capable and Who is not can a system decide effectively?

Wars and Destructions

With AI’s most Advanced Application there is a very important threat associated with it as well. AI-based systems might provide the most advanced self capable weapons. But as we are divided with the borders across the world these weapons give an upper hand to few developed Nations which can run the more advanced weapon system compared to others. This not only brings the advantage to few privileged ones but also brings the possibility of World War and other threats of causing mankind destructions. Also with the enormous spread of Nuclear Power in the world, it arises a most important question – Can we trust a machine to handle the enormous Nuclear Power?

” The powerful people are not the ones who have enormous powers, but they are the ones who know how to control it ” 

AI Threat Image

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