Read Niel Chah’s paper in First Monday where he provides a non-technical guide for those interested in a high-level understanding of the notions of Deep learning, Machine learning anf Artifical Intelligence by exploring briefly the historical context of deep learning, its public presence, and growing concerns over the limitations of these techniques. As a first step, artificial intelligence and machine learning are defined. NThen he provides an overview of the historical background of deep learning to reveal its scope and roots. A case study of a major deep learning implementation is then presented in order to analyze public perceptions shaped by companies focused on technology. Finally, a review of deep learning limitations illustrates systemic vulnerabilities and a growing sense of concern over these systems.
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