The Conundrum of Machine Learning and Cognitive Biases

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Machine learning is on the rise due to the technological convergence of the growth of big data, decreasing data storage costs, increasing computing power, improved artificial intelligence algorithms and acceleration of cloud computing. Machine learning is the ability for computers to learn without explicit programming. It's analogous to the human ability to identify an octopus based on the set of data input that goes to the brain, such as eight arms, tentacles, lack of skeleton and other characteristics, without having prior knowledge of every type of cephalopod mollusk in existence. However, human decision-making is subject to numerous cognitive biases that can easily distort judgement. For example, iconoclastic author Tom Peters highlights 159 cognitive biases that impact management decision-making (Peters, Tom.


The Conundrum of Machine Learning and Cognitive Biases

#artificialintelligence

Machine learning is on the rise due to the technological convergence of the growth of big data, decreasing data storage costs, increasing computing power, improved artificial intelligence algorithms and acceleration of cloud computing. Machine learning is the ability for computers to learn without explicit programming. It's analogous to the human ability to identify an octopus based on the set of data input that goes to the brain, such as eight arms, tentacles, lack of skeleton and other characteristics, without having prior knowledge of every type of cephalopod mollusk in existence. However, human decision-making is subject to numerous cognitive biases that can easily distort judgement. For example, iconoclastic author Tom Peters highlights 159 cognitive biases that impact management decision-making (Peters, Tom.


The Conundrum of Machine Learning and Cognitive Biases Access AI

#artificialintelligence

Machine learning is on the rise due to the technological convergence of the growth of big data, decreasing data storage costs, increasing computing power, improved artificial intelligence algorithms and acceleration of cloud computing. Machine learning is the ability for computers to learn without explicit programming. It's analogous to the human ability to identify an octopus based on the set of data input that goes to the brain, such as eight arms, tentacles, lack of skeleton and other characteristics, without having prior knowledge of every type of cephalopod mollusk in existence. However, human decision-making is subject to numerous cognitive biases that can easily distort judgement. For example, iconoclastic author Tom Peters highlights 159 cognitive biases that impact management decision-making (Peters, Tom.


Explainable AI: Interpreting the neuron soup of deep learning

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Kate Saenko had a problem. Her AI algorithms tended to identify scientists as men and kitchen workers as women, and she didn't know why. An associate professor at Boston University's Department of Computer Science, Kate had been using deep learning to automate the captioning of images and videos. And to be true, the results were spectacular. Neural networks, the software structure that underlies deep learning, proved to be very good at generating human-like descriptions of digital imagery.


Are AI and "deep learning" the future of, well, everything?

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You might not know it, but machine learning already plays a part in your everyday life. When you speak to your phone (via Cortana, Siri or Google Now) and it fetches information, or you type in the Google search box and it predicts what you are looking for before you finish, you are doing something that has only been made possible by machine learning. However, this is just the beginning: with companies such as Google, Microsoft and Facebook spending millions on research into advanced neural networks and deep machine learning, computers are set to get smarter still. This is a story about how ingenious algorithms and code are giving computers the ability to do things we never previously thought possible. Machine learning and deep learning have grown from the same roots within computer science, using many of the same concepts and techniques.