What is the dark secret of Artificial Intelligence?
In the course of the past few years, Machine Learning and AI have been the most exciting topics around the world. Machine learning technologies are unbelievable; they are useful for researchers, doctors, businessman's even students. However, the actual usage of machine learning and AI not transparent compared to other and-coded technologies.
Today we are going to discuss one question about AI that has been arising now and then throughout its journey. What is the secret hiding behind machine learning? As a regular tech enthusiast, you cannot get such information on the internet. Even computer technologists, who work in this field, find it impossible to understand AI technology. Even some Deep Learning Artificial Intelligence (AI) technologies cannot be touched or adopted without reservations from their creators. There is not profound proof of how they reason or guarantee accountability for users.
Deep learning in nature is specifically a dark black box. Any regular computer scientist finds it very hard to understand the neural network behind deep learning. Any given systems reasoning ability is embedded in the behavior of thousands of neurons. Each neuron is stimulated to receive and act like specific inputs.
However, as professor of Massachusetts Institute of Technology (MIT) Tommi Jaakkola says, "You don't want to just rely on a 'black box' method."
As AI and Machine learning progressing, the possibilities of taking faith and using are breaking out. Even some developers are attempting to introduce explainability to promote building AI trust.
Again another MIT professor Regina Barzilay thinks that intelligent machine or human-machine the collaboration will go far towards implementing explainability. Especially in the medial area, they are developing the deep-learning algorithm to detect unbelievable signs such as early cancer symptoms. Regardless, the fact cannot be denied that explanations are simplified, which can result in losing data along the way. Professor Jeff Clune of the University of Wyoming theorizes some aspects of ML and AI will always be cryptic and instinctual.
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