Abstract:
Deep learning technology, philosophical challenges and approaches Abstract The unprecedented human’s advancement in generating and storing piles of data, and exploiting such large amounts of data for building reasoning machines has manifested as a technology known as “deep learning”. This technology is inspired by the brain’s connectivity structure and is empowered by deep artificial neural networks. In spite of numerous benefits offered by their great power in reasoning like experts or creating things like skillful people, this technology imposes some ethical challenges to human’s life. This article tries to present the ethical challenges of deep learning technology that threaten humanity and tries to address them by employing a rational-philosophical approach. Although deep learning technology imposes several ethical challenges on our lives, it is still possible to benefit from big data without sacrificing our ethical values provided we gain awareness about and preparation against such challenges.
Machine summary:
Philosophy of Science, Institute for Humanities and Cultural Studies Biannual Scientific Journal (Scientific-Research Article), Year 10, Issue 2, Autumn and Winter 2020, 185–202 Machine Deep Learning; Philosophical Challenges and Approaches Reza Niroomand * Hamid Fadishei**, Elham Mohammadzadeh *** Abstract Humanity's tremendous progress in the production and storage of massive volumes of data, as well as the use of these vast datasets in constructing inferential machines, has emerged today in the form of an advanced technology called "Machine Deep Learning.
Keywords: Machine Learning, Deep Learning, Artificial Neural Networks, Philosophy of Technology, Philosophical Challenges 1 * Assistant Professor, Department of Islamic Studies, Faculty of Humanities, University of Bojnord, r.
Given the lack of worthy research on this issue, the authors of this writing have, for the first time, taken precise and novel scholarly steps in accurately identifying the philosophical and human challenges facing deep machine learning technology—which is a completely new and advanced technology—and have proposed the necessary approach for each challenge by adopting a philosophical perspective.
In the second section, the philosophical challenges facing deep machine learning technology are discussed, and the third section is dedicated to providing solutions and approaches to these challenges.
Each colored dot refers to one of the artificial neural networks created by researchers (8) Machine Deep Learning; Philosophical Challenges and Approaches 197 13.
Collecting data from the daily activities of humans, from their presence in social networks 200 Philosophy of Science, Year 10, Issue 2, Autumn and Winter 2020 taken to their movements and medical records, although it can lead to useful achievements with the help of deep learning, it also carries the risk of violating their privacy.
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