INTRODUCTION-
From health care and transportation to finance and entertainment, AI is revolutionizing industries and reshaping the way we live and work.
So, in this article we'll discuss about all the aspects(both positive as well as negative) of the new gen era i.e. THE AI ERA.
So, lets start this article by discussing about the both positive as well as negative wings and also the ethical considerations of living in the new gen or the AI era.
THE POSITIVE WINGS
- The all day availability- The one of the most crucial advantage of the Artificial Intelligence(AI) is its 24x7 service availability, which obviously was not possible before the AI world. Due to technology embedded, the AI has the potential to work continuously for hours without any discomforts. And, this we can easily experience in many national as well as multinational companies that how they are available for providing their services at anytime.
- Scalability- AI is not only capable of working continuously, but it also scales almost infinitely. If we take a general example of a sales executive then he/she might be able to extend the services to that same customer after enough interactions, but on the other hand, AI models can do so for million of customers at the same time. AI similarly demonstrates this scalability in the financial industry, where institutions use technology to instantly verify and validate millions of transactions and monitor for potential fraud everyday. Scaling to such degree is almost impossible with the human beings alone.
- Higher the accuracy and lesser the mistakes- AI models are highly capable to a piece of work more accurately and perfectly as compared to human beings. In fact, AI models are also able to do the task million of times with same accuracy and perfection which is not possible for a human being. Obviously for delivering such standard of accuracy and perfection, AI models are build with good algorithms, that are free from incidental bias, and specially monitored to prevent accidents.
- Personalized experience- The AI models are well equipped with good algorithms that analyze vast amounts of data to deliver personalized experience and recommendations to users. With the help of algorithms embedded in AI models, individuals are able to get personalized experience each and every time they avail any services provided by the AI models.
- Enhanced Safety and Security- If we talk about the safety and security of the data then there is a possibility that a human being can leak any confidential data but in case of AI models, retrieving confidential data is almost next to impossible. The safety and security standards set in an AI model is beyond the thought of being stolen or hacked. AI- powered surveillance systems and predictive analytics improve safety and security measures, helping to prevent crime and mitigate risks.
- Lack of Job Security- The transformation of the world from live human beings towards the AI models will definitely lead to job displacements, as the human labor force will get displaced with the AI models because AI models are able to perform the same task with more perfection and accuracy as compared to human beings.
- Bias and fairness- AI algorithms can perpetuate and even exacerbate existing biases present in the data used to train them, leading to unfair or discriminatory outcomes.
- Ethical Issues-
The rapid growth in the AI industry will also lead to an increase in the ethical issues, and one of the most common ethical problem is the privacy of the consumer's data. As we all know that AI is good at recognizing patterns, therefore it can easily gather data on people even without direct access to personal information. - Non- Economical(involves huge cost)- Developing a model that can work just like humans and can perform the tasks more accurately and perfectly is not a game of normal feat, rather developing these kind of models involve huge costs. It is also a compulsion that AI must be embedded with latest hardware and technology, therefore meeting the upgraded technology will surely incur huge cost.
- Transparency and Accountability- Ensuring transparency and accountability in AI systems is essential for building trust and migrating potential harm.
- Fairness and Bias Mitigation- Efforts must be made to identify and mitigate bias in AI algorithms in order to ensure fair and equitable outcomes for all.
- Privacy Preservation- Protecting user privacy and data security is paramount in the development and deployment of AI systems.
- Human Oversight and Control- Maintaining human oversight and control over AI systems is essential to prevent the delegation of important decisions to machines without appropriate oversight.



















