Artificial General Intelligence (AGI) and The Future of Mankind
Have you ever imagined what might
be like for a machine to see, experience and interact with its immediate
surroundings in the world at large in the same way that people do. That is
precisely what artificial general Intelligence (AGI), the pinnacle of AI and
processor to the god like idea of super intelligence may enable machines and
software programs to perform artificial general Intelligence, a concept that
yet to be realized will think and carry out complex tasks such as corporate
restructuring and HR management using human characteristics such as logical
reasoning empathy and human centeredness while maintaining the expected
computational speed, accuracy and big data analytics associated with standard
AI applications.
Although the capabilities of the
upgraded technology are relatively well known, understanding the precise
distinctions between it and AI is required to understand why we may not see AGI
in the near future or ever. In this article we will discuss the possibility of
an artificial general intelligence emerging and if it does; what it could mean
for the future of society.
People frequently confuse AGI
with AI. Which is a term used my marketers and organizations to represent
everyday machine learning applications and even standard automation technologies.
In a nutshell, artificial general
intelligence is an ever-expanding umbrella of machine skills to execute many
jobs much better than even best human minds. An example of this would be AI
properly anticipating stock market pattern allowing investors to constantly to
constantly benefit. Furthermore, AGI based technologies can converse with
humans in a conversational and informal manner. In recent years demotic
applications such as smart speakers, smart kitchens and smart phones have
become more interactive by allowing them to be managed by voice commands. Furthermore,
sophisticated updated versions of such programs exhibit uniquely human
characteristics like as humor, empathy and friendliness.
However, such applications fall
short of truly authentic connections with humans. If AGI does arrive in the
future, it will fill this need. Essentially AI is considerably more reliant on
collected data than and AGI-based application. Normal AI tools, cognitive
capacities are quite restricted. These tools primarily use machine learning
data for problem solving, analytics driven decision making and other tasks such
as language recognition and generation (NLP, NLG), facial recognition, computer
vision, smart parking management via proximity sensors and lighting sensors and
variety of other applications. AI based apps are one dimensional and can
accomplish the tasks for which their algorithmic models have been trained with
accuracy and efficacy.
In terms of functionality, the
models and algorithms in artificial general intelligence are far more diverse.
Their intelligence is several levels higher than that of AI tools. If and when
it arrives, AGI imbues robots with uncanny human-like behavior and presence.
Consider this, an AI based robot can clean house floors, handle laundry for the
week or conduct similar activities. An AGI powered robot can perform all of
this while also remembering an individual schedule before entering their room
locating the proper ingredients and brewing the ideal cup of coffee for them.
AGI is thus a highly advanced kind of AI. At the moment there are several
issues that may stymie the construction and development of AGI. Not least the
widespread worry that it will render people unemployed making the technology
seem like a far away dream.
As previously said, AGI
applications are designed to flawlessly duplicate human awareness and cognitive
skills, however AGI researchers are unable to generate Neural Networks capable
of simulating artificial consciousness in the lab at least not yet. Human
consciousness is too abstract and asymmetrical to be modeled by a Turing
machine for AGI construction. To reproduce human consciousness in an AGI model,
one method would be to represent the brain as a quantum computer capable of
solving problems in polynomial time with row processing power alone. While this
would considerably improve an algorithm’s performance and efficiency, it would
not be the path to designing computers with awareness and their own individual
human personalities. The halting problem is another issue with employing
programs and code. This notion argues that any computer program will at some
point in time exhibit functionality issues and finally stop executing for
specific inputs. This is a problem that may have no answers with Turing’s investigations
indicating that there isn’t an algorithm that can solve it in general.
This raises significant concerns
about the long-term usefulness and computability of AGI based technologies. There
is a reason why humans are so distinct and unrivaled by even the most powerful
robots of the past and today. Despite its remarkable powers AI is still based
on carefully constructed programs and algorithms. The most advanced AI
technologies can generate such algorithms on their own. However, AGI based
tools cannot develop life like awareness because to technological limitations. Despite
all the advances in AI, every choice is supported by intensive data analytics
and processing. Scoring poorly on characteristics such as logical thinking, emotion-based
decisions and other features. Now that the technological side of things has
been explored, the questions of ethics and supplanting people addressed. There are
no two ways about it.
Artificial Intelligence will replace humans and minds in almost every sector in business activity. Because of this issue many individuals will be violently opposed to even considering deploying AGI. According to projections more than a billion of jobs will be lost due to automation of robots and AI. And that’s before we contemplate the rise of AGI which would merely exaggerate such statistics. Unfortunately removing jobs is only a small fraction of the damage that AGI may inflict. In each given setting the combination of AGI’s overwhelming computational brilliance ambivalence and equally great emotional detachment presents itself precisely in horrifying example commonly cited when discussing AGI morality.
Example an AGI robot
searching for items in various areas of the house in order to create something
for few hungry children. In the event that nothing is found, the robot is
tempted to roast their pet cat owing to its excellent nutritional value. This scenario
wonderfully exemplifies how AGI and indeed AI may choose any path to the
desired conclusion. AGI developers will need to teach AGI algorithms the idea
of human ethics in order to prevent the types of misunderstanding observed
above. However, this is easier said than done. Because there is no precedence
for adding morality into AGI models. Consider a circumstance
which several patients require medical attention and resources are
limited. How will an AGI-based applications make judgements in such a
situation. Perhaps in the future machine learning will be able to learn moral
conduct.
However, there is a large if! Because
implementing AGI is to hazardous if key judgements are made without taking the
human side of things into account. Despite their limitations, humans can clearly
distinguish between good and wrong. Preventing that anything goes approach from
being applied during vital decision making if the notion of AGI becomes a
reality in the near or far future. Models and applications must include elements
such as empathy, compassion and civilized reasoning. Until then the notion of
AGI appears to be a long way from real world applications. These are only a few
of the impediments that may prevent AGI from giving birth. AI is frequently portrayed
as an enemy in science friction novels and films. AI wishes to take over the
planet and kill the human species in such works of friction. As we all are
aware none of these possibilities can be true while discussing ordinary AI. AGI
on the other hand is a very new ball game. The sheer terror of intuitive
machines inflicting harm on humanity become if AGI is incorrectly created. As a
result, the appearance of AGI can be proponed for a time.
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