Opportunities and Challenges in the Rise of Artificial Intelligence

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are designed to think and act like humans.

AI is the new goto for software products in near future such that it will become a must for brand’s to handle the user requiements.

Artificial Intelligence systems can perform tasks such as recognising patterns in data, making decisions, and translating languages.

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Pro’s of AI :

Here are few pro’s of having AI implemented in our day to day life.

Adaptability :

AI systems can adapt to changing circumstances and learn from new data. Here data in the sense collected information is used to process further queries.

Automation :

This is the most important and high demandable feature of AI that is Automation. AI can automate tasks that would otherwise require human intervention.

Automation also makes it faster in the way work is done and also maintains quality.

Decision making :

AI systems can analyse data and make informed decisions based on that data. This is related to first point which we discussed i.e., adaptability.

Natural language processing (NLP) :

AI can understand and respond to human language.This is the most amazing feature which makes AI ultra popular not only for engineers in computers and technology but even for a common man.

Object recognition :

As discussed above i..e, NLP AI can recognize objects and images such that it can easily know the things available near by and react accordingly.

Example : Tesla is the best example which can drive a car without any human support can understand the circumstances and go ahead easily on road.

Pattern recognition :

AI can identify patterns and relationships in data. And can make the flow accordingly with the help of patterns(repeated structures in data).

Predictive analytics :

Not only performing task predicting future is also important aspect and AI can analyze data to make predictions about future trends.

Robustness:

Strength is also importance here strength refers to capability / sustainability of AI systems they are designed to be robust and handle unexpected events.

Self-learning :

Learning from available data i.e., a customer had interest in a product and once he/she makes a search regarding it AI systems can grasp the info and improve over time through self-learning.

With this info ads are displayed to the users and also products are updated in stores based on customer interest.

Speed:

Speed is the important aspect in data processing and performing a task and AI has this ability to process and analyze large amounts of data quickly.

Versatility:

You can make use of AI in different fields i.e., it can applied to a wide range of tasks and industries.

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Con’s of AI :

These are some of the potential cons of AI,

Unemployment :

Employment is key factor in the world by which survival is possible, people work through out the globe starting from internet era.

AI technologies have the potential to automate many jobs, leading to job loss and unemployment, especially for low-skilled workers.

Bias :

Some times human emotions need to be considered, this lags in AI as it cannot discriminate people based on emotions.

AI systems can perpetuate and amplify existing biases in the data they are trained on, leading to biased decisions and unfair treatment of certain groups.

Lack of accountability :

These systems are not built by a single person or administrated by though so it is difficult for accountability of the service provided.

It can be difficult to determine who is responsible for the actions of autonomous AI systems, leading to questions about accountability and ethical responsibility.

Security risks :

These systems are built on computers and internet so they are prone to hackers this is a biggest con out of all.

With the features provided by these systems humans completely rely on them and this may some times become a boon for hackers.

AI systems can be vulnerable to hacking and other forms of cyber attacks, which can compromise sensitive data and lead to security breaches.

Lack of transparency :

These systems are developed by AI engineers who are trained to work on these platforms and are responsible to make error free systems and also eradicate loop holes.

The inner workings of some AI systems can be difficult to understand and explain, making it difficult for individuals to trust these systems and for regulatory bodies to hold them accountable.

Psychological effects :

Adequate use of internet have negative effects on social life and so AI has similar effect the increasing use of AI in society could have negative effects on social interaction, communication, and well-being, leading to feelings of isolation and displacement.

People start relying on computers rather than human beings U+1F600

Dependence on technology :

Over dependency on AI systems can lead to a decline in critical thinking skills, creativity, and problem-solving abilities.

These factors effect human thinking and kills innovation which can lead to several problems in later generations.

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