WHY INTELLIGENCE IS NOT ARTIFICIAL?
Introduction of AI
Hundred years ago an idea was presented by ancient scientist on the topic of AI .It was the time (1900-1950) when media was introduced and all the scientists focused that how artificial brain can be created?
Some robots were made by creators. Alan Turing introduced computer machinery and intelligence later on which was named as Turing test. The purpose of the test was to calculate computer intelligence and then at that time AI came into being.
Kate Crawford a Microsoft researcher suggested in 2021 that AI is not artificial . No doubt that AI played a vital role in changing technology, art and the way of our work. It changed everything.
Artificial intelligence Vs Human intelligence
By using AI technologies humans make algorithms to design their codes which are used to handle complicated tasks. But human tellect is needed for self awareness and multitasking. IQ is not included in AI. It works on specific tasks.
Human intelligence involves the characteristics of common mental traits like memory and creativity . While AI uses different technologies which makes computer to solve different problems.
Human intelligence work using their own memory while the data provided is considered in AI.
Limitations of AI
Although the tasks like pattern recognition, problems solving and making decisions and algorithms which were done only by human intelligence in past now a day all these are done with the help of AI. But never AI can work like true intelligence that humans do. The way in which humans can be able to understand context cannot be find in AI. AI makes algorithms for efficient working. But AI cannot tackle the unexpected situations.
AI performs only specific tasks and it has deficiency of general intelligence so that it is also known as weak or narrow artificial intelligence.
Narrow Vs General AI
NARROW AI
Weak AI was named as Narrow AI. Narrow AI is able to performs structured tasks . Under various limitations it is specified for to perform tasks like face recognition and Internet search which are all single functions.
Examples of Narrow AI
Following are the some examples of narrow AI that describe the function of narrow AI.
Disease detection
Narrow AI algorithms are very helpful in processing the huge amount of data in seconds. It is known to be the best platform in diagnosis of various diseases. It works faster than health care professionals and we can obtain more accuracy in data analysis.
Facial recognition
The tasks like identifying humans ,tagging videos and indexing pictures all these involve AI technologies.
Recommender system
To suggest what type of products might be liked amazon, Netflix all these use narrow AI. To contour human reactions narrow AI algorithms work by using data.
GENERAL AI
General AI is also referred as strong AI. In general AI machines are allowed to perform tasks by applying skills in different conditions.
The problems related to ANI are solved by GAI.
Examples of General AI
Here are some examples of general AI in which the function of general AI is explained
Imagination
To understand the codes generated by human and to make it work efficiently GAI is used.
Natural language understanding (NLU)
AGI is used to comprehend the human language by its context through NLU.
Why intelligence is not artificial?
In 1997 it was needed to feel that human intelligence could be more over smart than artificial intelligence.
As AI is considered to be artificial because it was designed and programmed by human beings. The algorithms which were made to drive the creation of AI was also structured by humans. Human intelligence must be considered to make explanations.
So AI does not able to understand the function of physical and social world. AI system cannot be capable to write in similar patterns to that of humans. This is the weakness of AI in its progress level. To make a difference between possible and impossible chat GPT is not capable. Here AI cannot be like human intelligence.
In Chomsky book it was declared that that Intelligence is not artificial.
Piero Scaruft an Italian American author said that many intelligences are the result of environment made by humans. He said that AI is only a kind of computational mathematics which was applicable to automation.
The biggest risks associated with AI
AI is aa surprisingly new introduced system. While using this is necessary to be conscious. Before using AI system we should make sure that this is either structured or designed accurately and responsibly. AI system is risky as it threaten the reputation and brand value when it is used untested.
What steps should be taken to ensure AI is developed responsibly?
First of all while for the betterment of a system or solving a problem we should make sure that AI is a good platform or not?
If AI works properly then before introducing it to public it should be well tested.
Misunderstanding about AI
It may be future prediction that AI is not intelligent. Although the capability of machines to make prediction and to get more accuracy in outcome is increasing day by day but it cannot be compared to human intelligence. In machine learning system at a time only one task can be performed accurately. The information taken by human from one source can be utilised in various ways. It can be said that the only human intelligence is transferable while the machines intelligence in not transferable.
Will AI replace humans?
Humans are working to make AI more accurate by using algorithms and programming but human intelligence cannot be replaced by artificial intelligence. For the completion of complicated tasks to be more easy AI technologies like automation are working.
Here are the some reasons .
Limited creative process
As AI only uses the data provided by humans it is not able to produce authentic ideas. The unavailability of AI to make new pattern makes it limited.
By using various information only humans can generate different solutions of complicated tasks. AI has deficiency of creative thoughts so it can never replace human intelligence.
Soft skills are not for AI
Humans require soft skills to emphasis specific tasks such as creative thinking. These things cannot be find in AI frameworks.
Emotional intelligence
Emotional intelligence is the prominent characteristic which makes human beings relevant. AI lacks the awareness of humans situations. It is unable to feel emotions like feeling pain and suffering. The actions of humans that involve these emotions cannot obtained by AI machines.
Negative impacts of artificial intelligence
AI has changed the way of living by increasing the efficiency of productivity. But AI has negative impacts.
Job displacement
The ability to replace human working is the distinct aspect of AI. This is the main reason of losing jobs in various companies and industries. This happened due to the machines working instead of humans.
A shift in human experience
AI models are able to perform complicated tasks in seconds so it reduces the time consumption which was spend in different jobs. So humans will need the activities which can help them in giving the same benefits by which they can be economically stable.
Global Regulation
For the effective global interaction AI technology will be based on updated laws and regulations between many governments. The decision of a country made by AI can easily and readily effect the other country.
AI bias
Built in biases are uses in AI algorithms which are designed by only humans. AI algorithm models should be well trained when they are built in different companies. When the training sets are biased from which the AI algorithms are made the biased results can be obtained.
Conclusion
Although it is impossible to construct AI with human intelligence but a forward step to make algorithms which can act like humans would be considered in future
In future for the benefit of human beings effective computer workforce seems to involve in artificial intelligence.
By promoting AI development it can serve more better in society in the navigation of challenges. We should focus in creating the AI technologies which are fair and have ethical ability.