Skip to main content

ARTIFICIAL INTELLIGENCE: THE NEXT DOOMSDAY?


ARTIFICIAL INTELLIGENCE: THE NEXT DOOMSDAY?


What is Intelligence?

In the words of Stephen Hawking, it is defined as “the ability to change”. The word ‘change’ has been guiding the survival of each and every species on this planet. Several theories of evolution are evident to this fact, but how much of this “change” is actually catalysing our way forward without putting our own existence in jeopardy?

One such change which revolutionised the human world is Artificial Intelligence. The concept of artificial intelligence was first developed in 1950 which gave birth to the speculation that machines could think. It was established as a discipline of academics in the year 1956. Since then, billions of dollars have been invested in the research and development of the various possible avenues of this topic.

So first of all, what is this Artificial Intelligence and how powerful is it?

A.I. is a kind of manmade intelligence that is put into machines for creating thinking capabilities in them.
Nowadays, Artificial Intelligence finds its use in nearly every aspect of our life - Robotics, Self-driven cars, Military, Toys and games etc. Several multinational companies have even found out a way to mutate A.I. in a way that it can evolve faster than we can code them, all by itself.
If machines continue to obey Moore’s Law and keep doubling their speed every eighteen months, the probability is quite high that in the foreseeable future, they might clearly overtake the human intelligence. This scenario of “TECHNOLOGICAL SINGULARITY” is predicted by several leading scientists and researchers. A.I. can thus overtake humans by advanced thinking or cognitive enhanced biological intelligence or both. 

ECONOMIC INEQUALITY DUE TO A.I.:

In this era driven by technology, jobs that can be done by robots are increasing exponentially, thus costing the livelihood of human workers all over the globe.Several jobs like those of cooks, waiters, short-haul truck drivers and many more are in the endangered zone as A.I. keeps getting better. Loss of jobs might give rise to a widespread discontentment and concentration of wealth among a small section of the society.


RISKS OF A SUPER INTELLIGENT COMPUTER:

In a famous book by Stephen Hawking, he wrote:

“People asked a computer ,’Is there a God?’
And the computer said ,’There is now,’
and fused the plug.”


In the recent years, a humanoid created was asked in an interview whether it would destroy its creators. It replied with the words that it would ‘Destroy Humans’. Though, A.I. has proved to be beneficial to mankind in a majority of cases, several possible drawbacks can be visualised. In 2010, the flash crash occurred in the stock markets which was possibly computer triggered. If we increase our dependence on A.I. , can we imagine what such a crash could do to our military and defence systems or to our health care systems?
Elon Musk had commented that A.I. Is far more dangerous than nukes.
A.I. is broadly divided into three categories:
1)Artificial Narrow Intelligence(ANI)
2)Artificial General Intelligence(AGI)
3)Artificial Super Intelligence(ASI)



We are at present in the first level, quite far from reaching the highest one. ANI refers to a computer’s ability to perform a single task with ease, like playing chess. However, with the correct measures and strategies in place, A.I. can prove to be a boon for mankind. It can simplify human life by a great deal and make a lot of impossible dreams true. Space exploration can be eased with the right A.I. It can support us in healthcare, work and science. At the moment, it is truly a hidden prize for mankind but the kill switch should always be kept in our reach in case things go south.

At the end of the day, we should remember that humans invented the fire for their benefit but they also needed to make the fire extinguisher.


-RITWICK BANERJEA
2nd YEAR
Department of Chemical Engineering 


Comments

Popular posts from this blog

The God Particle

                      'The God particle' also known as Higgs boson particle was discovered in 2013, with the help of the Hadron collider. It was said to be “the missing cornerstone of particle physics” by the CERN director.         Many disputes have been over why this is named so. Basically this particle gives an explanation of the origin of the universe.  It is a physical proof of an invisible, universe wide field which gave mass to all particles after the Big Bang.         This field better known as the “Higg's field” is different from all other fields as it is present everywhere even in vacuum. Now after providing mass it forced all particles to merge and form the stars, planets and led to the formation of the whole Milky Way galaxy.          So it was a very essential particle leading to the origin of the universe and gradually life as we know it.                 Now what is it's relation to time travel? The physi

HYPERLOOP

FIFTH MODE OF TRANSPORTATION-“HYPERLOOP” The concept of Hyperloop was first conceived in 2012 by renowned entrepreneur and founder of SpaceX and TESLA, Elon Musk . He was in search of a new, the fifth mode of transportation which can redefine the future of travelling by drastically reducing the travel time on land. It is termed hyperloop as it would go in a loop. Hyperloop is the greatest leap in mode of transportation infrastructure for generations. With passengers sitting in a pod and travelling through evacuated sealed metal tubes at a speed greater than that of an airline, the concept seems to be fictitious but it is on the verge of becoming reality. The speed of conventional mode of transportation i.e. buses, cars or trains is limited by air resistance and friction.   Hyperloop drastically reduces friction and air resistance by means of magnetic levitation, electric Propulsion and partially vacuum steel tubes. The concept is open-sourced by Elon Musk, the result of whi

NEUROIMAGING IN IDENTIFYING DISORDERS

NEUROIMAGING IN IDENTIFYING DISORDERS Neuroimaging deals with the in vivo applications of various techniques to illustrate and study the structural & functional characteristics of the nervous system. Neuroimaging can be classified into two categories: • Structural neuroimaging, which involves the imaging of the structure of the nervous system and the diagnosis of intracranial injuries and tumours. • Functional imaging, which involves the study and diagnosis of metabolic diseases and cognitive research. The most widely used techniques involved in the process of neuroimaging are: 1. Computed Tomography (CT) or Computed Axial Tomography (CAT), in which X-ray images of the brain from various directions are taken and presented as cross-sections of the brain. 2. Magnetic Resonance Imaging (MRI), which uses magnetic fields and radio waves to obtain high-resolution 2D or 3D images of the brain. 3. Positron Emission Tomography (PET), which measures emissions from radioac