Ethical Aspects of Deep Neural Networks
Ethical Aspects of Deep Neural Networks Post image (taken from Pixabay) Neural networks are a powerful tool which has improved our lives. Along with their benefits, neural networks do have significant drawbacks - they are vulnerable, they require a lot of data which is not always achieved by proper means, and they tend to preserve bias. We must ensure that any network we build is explainable, fair, secure and maintains privacy in order to make it a legitimate technology. Lotem Nadir Lotem Nadir is a recent graduate with an undergraduate degree in computer science from the Technion – Israel Institute of Technology. She works as a data scientist at Medtronic. She loves data-driven problems, and deep learning solutions. Introduction “I was walking home from school by myself when I saw it. A robot, just standing in the middle of the street. I was scared at first, but then I realized that it wasn’t doing anything. I walked up to it and said, “Hi.” It turned its head to me and said, “Hel