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Towards this end, researchers at MIT are investigating ways of making artificial neural networks more transparent in their decision-making. As they stand now, artificial neural networks are a wonderful tool for discerning patterns and making predictions. But they also have the drawback of not being terribly transparent.
The beauty of an artificial neural network is its ability to sift through heaps of data and find structure within the noise. This is not dissimilar from the way we might look up at clouds and see faces amidst their patterns.
And just as we might have trouble explaining to someone why a face jumped out at us from the wispy trails of a cirrus cloud formation, artificial neural networks are not explicitly designed to reveal what particular elements of the data prompted them to decide a certain pattern was at work and make predictions based upon it.
Learn more / En savoir plus / Mehr erfahren:
http://www.scoop.it/t/21st-century-innovative-technologies-and-developments/?tag=AI
The beauty of an artificial neural network is its ability to sift through heaps of data and find structure within the noise. This is not dissimilar from the way we might look up at clouds and see faces amidst their patterns.
And just as we might have trouble explaining to someone why a face jumped out at us from the wispy trails of a cirrus cloud formation, artificial neural networks are not explicitly designed to reveal what particular elements of the data prompted them to decide a certain pattern was at work and make predictions based upon it.
Learn more / En savoir plus / Mehr erfahren:
http://www.scoop.it/t/21st-century-innovative-technologies-and-developments/?tag=AI