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The news of the hour is, the AI technology is already started creating wonders. With the use of NLP or Natural Language Processing combined with deep learning, AI Models have started emerging as super humans. But people has started fearing that AI will taking away all the available jobs in the market and outsmart human beings. Clearly, many of us are speculating that AI will take over all human control and man will be driven by machines. Whenever there is uncertainty, there’s fear.
In this blog we will closely discuss how technology has been a blessing. I will present two of the biggest discoveries of the 21st century: Mobile phones and Internet. These two technology model will help us guide through the future of Artificial Intelligence Technology. We will also calculate job losses vs job gains. Finally, I will also try to answer the raising concern of the hour: Can AI give security, reliability, fairness and privacy?
Any technological innovation has been feared by mankind as a threat to its existence. Therefore it is nothing new. Be it nuclear energy, computers, or the internet, every emerging technology or innovation has seen stiff resistance. Technology can inevitably be used in both good and bad ways, the same is the case with Artificial Intelligence. But technology will always find its sweet spot and will benefit mankind like it has been.
AI is a technological revolution that is changing our lifestyle and livelihood. Let’s dwell on our past to 30-40 years and how things eventually stand with the invention of two major technological revolutions.
Life before Internet:
Negative impact of Internet on society:
Let us discuss how our lives were, before the invention of mobile phones:
The negative impact of mobile on society:
Now, when we study the above two case studies, we cannot deny that there were job losses. Although STD/PCO businesses were wiped out, there came eCommerce. Undoubtedly, eCommerce industry has not only provided mass employment, it has also made the life of common man a zillion times easier. Certainly, a wise-man will always weigh the good with the bad and arrive to an opinion.
The reason I had to take reference to Mobile Technology and Internet Technology is to gather references to fathom what AI Technology can do. Standing in 2024, we have hardly explored the commercial capacity of the giant AI technology. We have only managed to understand the scope of AI. We have created interactive AI models. Many models were created which has startled the world. For example: ChatGPT 3.0, LlaMA, Dall -E 3.0, etc.
These four points are achieved by training AI models for over a decade with huge data. With the help of Deep Learning, we are achieving unsupervised learning and discovering hidden patterns.
Supervision. Yes, tech giants IBM, Wipro, and ADP are setting up an AI Ethics Board.
No to mention, the reason for such a surveillance team is to bring reliability, trust, fairness, explainability, and security. Specifically it will deal with the nuisance factor of generative AI, Dalle-E, or Deep Fakes. If you can create an image or video of anyone doing anything, or create voice samples identical to someone by just a small one-line text, yes, a regulatory board is absolutely important.
After considering the two case studies we can at least rely on technology. We must have faith that any technological revolution has helped human beings evolve. Therefore with more and more acceptance of AI technology we are looking at a world that will emerge to be smarter, dynamic, informed and aware. Along with that, the establishment of AI Ethics Board is also signalling a strong indication that, a huge commercialisation of AI is not far away. Therefore, AI will change our lifestyle and will help us evolve in a better way.
Conclusion: AI is a technological revolution that will be the strongest force to drive every industry in the coming few decades. Without any argument, it will make our life easier like the two other technological revolutions in our last 3 decades: Mobile Phones and Internet Technology. Also, AI will take away few skilled jobs but will employ a much bigger volume across all industries.
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