Deep learning technology, philosopical challenges and approaches

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.