Historical background of Artificial intelligence

• Every societal trend like AI tend to create equally strong counter trends.

• To understand the possible counter trends that could happen to the inevitable forward march of AI, it might be worthwhile to study the societal trends that happened as a counter to the industrial revolution.

• Industrial revolution coincided with the advent of enlightenment age in Europe.

• With the publication of Principia Mathematica by Issac Newton, Kepler explaining the movements of the planets, Galileo placing the sun at the centre of the universe and discovering calculus, it was believed that scientific methods could explain even the deepest truths in the universe.

• Industrial revolution portrayed a world that was certain, rational and governed by reason. One started to realize that beyond the apparent sense of progress one was achieving with the industrial revolution, there were too many irrational, emotional aspects at play.

Current Scenario

• Today’s scenario is quite similar to that during the industrial revolution.

• The confidence in the efficiency of machines during the industrial revolution has now been replaced by the strong belief by the AI industry in the absoluteness of data and in the faith of algorithms and technology to make sense out of that data. Reason still rules.

• The data is the most honest record of the past behavior of humans.

• With increasing computational powers and improved technology AI will be able to better explain what humans have been doing.

• But to explain why someone did what they did and to understand how their existing behaviour can be changed, the rational world of data has limitations.

• This is the opportunity for new societal trends to emerge.

Emergence of the Neuroscience

• Today, the field of Neuroscience has moved far ahead.

• Neuroscience has discovered that more than 99.99% of human behaviour occurs at a non-conscious level and that the non-conscious brain is ten times faster than the conscious brain.

• While at any point of time, the conscious brain can focus only on one task, the non-conscious can easily manage multiple tasks.

• This means that the facet of human behaviour that the rational world has been focusing on, the conscious mind, is a very small, not so efficient dimension of human behaviour.

Understand non-conscious brain

• It is not  easy to understand the working of the non-conscious brain. One’s consciousness has no understanding of what is happening in one’s own unconscious.

• There is very little observable data on the happenings of the non-conscious brain. We need to develop new qualitative measures to decipher the workings of the non-conscious brain.

• Marrying this qualitative information with the existing quantitative data about humans will be one of the interesting challenges for tomorrow.

• The increased focus on the non-conscious processes will bring in more challenges for the corporates.

• It was easy for corporates to monitor and manage the conscious processes of their employees.

• But brain studies show non-conscious works best when one is sleeping or while one is relaxing. May be having a drink in a beach.

Conclusion

• Neuroscience will remind us that all the great scientific discoveries, all great works of art and literature, all innovations that humans have witnessed so far have emanated out of the non-conscious processes of the human brain.

• All these paradigms shifts have happened when there was very little understanding of the workings of the non-conscious.

• It will be good if there is greater focus on the non-conscious processes of the brain as a counter trend to the emergence of AI.

• Because more focus on the non-conscious processes will surely lead to even more innovations in the world.