The Reality of Artificial Intelligence

The Reality of Artificial Intelligence

Does your social media feed often flood with news on AI or Artificial Intelligence? I see innumerable AI stories on Medium and LinkedIn.

The same is true for the Twitter feed but not for Facebook, which contains mostly friendly feeds. In fact, AI is omnipresent in almost every tech media news and professional networks.

AI is the most popular buzzword of today. It has entered deep inside the mind of the tech companies as well as the customers. Almost every modern tech gadget claims to use AI some way or the other.

Starting from smaller electronic toy manufacturers to the most advanced medical devices companies, almost every tech business player tries to incorporate AI in their products. No modern digital business is taken seriously unless they include AI in their business.

The writers imagined the world much before the scientists and technologists developed tech gadgets. Jules Verne wrote the underwater science fiction novel “Twenty Thousand Leagues under the Sea” long ago.

H can you forget Charles Chaplin’s “Modern Times” that depicted the adverse effects of automation? How can you forget Arnold Schwarzenegger’s “Terminator”?

Famous filmmaker Satyajit Ray wrote “Anukul” which told a story about an intelligent humanoid robot in the 1960s (much before Steven Spielberg’s ET), and today’s humanoid robot Sophia is primitive compared to Satyajit Ray’s imaginative humanoid “Anukul”.

Today’s science and technology couldn’t have reached this stage without earlier philosopher researchers' contributions, such as Leonardo da Vinci. The solid thinking by the scientists of the nineteenth century made many seminal breakthroughs in AI possible.

As soon as computing machines were discovered, there were intense research studies in universities and R&D laboratories. Now, every university has at least one active group in applied AI research. Generous financial support and collaboration from the industry houses complemented government initiatives.

The open-source software community supported by the big IT companies are the top contributors in AI. Google Lab’s machine learning software Tensorflow can now run on US$35 single-board computers called Raspberry Pi. High schools can now afford to carry on research in AI, Machine Learning, and Deep Learning. The open-source software developers have done a great job in AI.

Can the AI-driven research get success by running it in the R&D labs alone? It needs rigorous real-world testing by the people outside the lab. Now affordable computing devices and sensors are easily available throughout the world. People are continually testing the AI software on their devices, and reports are being documented via the open-source research forums.

Probably to acknowledge Leonardo da Vinci’s great contribution in applied science, an advanced AI-empowered robotic surgical device has been named after da Vinci. There are innumerable applications of AI in the market. Google’s Assistant and Amazon’s Alexa are there for everyday assistance in offices and homes. Even today’s HR functionalities are helped by AI-driven software. Not to mention the stock exchange and share markets, which are heavily dependent on AI software.

AI is a power that has to be executed with optimum human intervention. That means AI can’t run all designated functions single-handed. There are concerns and alarms. For example, when a tech company installed a self-learning bot for social media, it started to learn the customers' abusive languages. There was a need for human intervention to put control over the machine learning algorithm of the bot.