Imagine this: You are a train driver. During one of your trips, you spot a dark figure on the tracks ahead. You immediately pull the brakes to prevent a potential accident. While this decision may seem simple to humans, it is not as intuitive for smart machines in autonomous systems.
For a smart system to make the appropriate response, it needs to be fed a tremendous amount of quality data in order for it to achieve a desired level of understanding and intelligence, and this is costly and time-consuming. But what about unforeseen or unpredictable events? With no available data for yet-to-happen occurrences, how can such systems learn what to do? That is where design thinking comes in.
https://www.straitstimes.com/singap...ineering-and-architecture-where-ai-and-design
For a smart system to make the appropriate response, it needs to be fed a tremendous amount of quality data in order for it to achieve a desired level of understanding and intelligence, and this is costly and time-consuming. But what about unforeseen or unpredictable events? With no available data for yet-to-happen occurrences, how can such systems learn what to do? That is where design thinking comes in.
https://www.straitstimes.com/singap...ineering-and-architecture-where-ai-and-design
