AI/Machine Learning Scorecard: Correlation Pass | Causation Fail

AI/Machine Learning lacks the ability to compute cause and effect. It is at the first level in the ladder of causation where learning is based purely on association. Judea Pearl, a leading computer scientist/professor of computer science/statistics and director of the Cognitive Systems Laboratory at UCLA, in his important book “The Book of Why”, explains that AI/ML in the current state, lacks human like cognition and cannot reason why. Read more to find out…

The AI Paradox

From definitional issues of AI to the huge debate on AI leading to job losses, this article briefly addresses the AI paradox. Is AI any different from Machine Learning? What kinds of jobs at risk? People might imagine that AI driven automation will mainly replace manual labour which is not intellectually demanding, the reality is that the opposite is true: AI driven automation, is much more suited to intellectually demanding tasks. Put another way, if you wanted to beat chess grandmaster Magnus Carlsen, you would choose a computer. If you wanted to clean the chess pieces after the game, you would choose a human being. What is easy for humans is difficult for Robots and vice-versa, which is the Moravec’s paradox of AI. Read more to find out…

Uber takes YOU for a Ride- Uses Machine Learning to Maximize the Fare

How desperate are you to get to your destination?  Very? Then be ready to pay a higher price for your Uber ride. Uber is using Machine Learning Algorithms to estimate how much a customer is willing to shell out for a ride. You could be a young woman waiting to get back home from a late night party in New Delhi, or you could be someone rushing to a hospital to visit your close ones or someone getting late to an official meeting- Uber could easily know that using Machine Learning and the data that you have willingly handed over. It can understand your level of desperation and prices the ride just below the level you are willing to pay. While you will take the ride, be sure have been taken for a ride!