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2018
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(2018) : ETHICAL FRAMEWORK FOR MACHINE LEARNING: 2018 ITU Kaleidoscope: Machine Learning for a 5G Future (ITU K): Santa Fe, Argentina: IEEE, S. 1-8
DOI: https://doi.org/10.23919/ITU-WT.2018.8597767 Abstract: Artificial Intelligence (AI) with its core subset of Machine Learning (ML) is rapidly transforming life experiences as humans begin to grow more dependent on these ‘smart machines’ for their needs - ranging from routine mundane chores to critical personal decisions. However, these transformative technologies are at the same time proving unpredictable too as has been reported worldwide in certain cases. Therefore, several studies/reports, such as COMEST report on Robotics ethics (UNESCO, 2017) point to an obvious need for inculcating more ethical behavior in machines. The present study aims to look at the role and interplay of ML (the hard sciences) and Ethics (the soft sciences) to resolve such predicaments that are inadvertently manifested by machines not constrained or controlled by human expectations. Based on focused review of literature of both domains-ML and Ethics, the proposed paper attempts to first build on the need for introduction of an ethical algorithm in the domain of machine learning and then endeavors to provide a conceptual framework to resolve the ethical dilemmas.
Keywords: Artificial intelligence, Artificial intelligence/machine learning, Big Data, COMEST report, critical personal decisions, Decision Making, design approach, domains-ML, emotional quotient, ethical algorithm, ethical aspects, ethical behavior, ethical dilemmas, ethical framework, Ethics, hard sciences, human expectations, ieee xplore, learning (artificial intelligence), machine learning, Machine learning algorithms, Moral & Ethik, Prediction algorithms, robotic ethics, Robots, routine mundane chores, smart machines, soft sciences, spiritual quotient, transformative technologies
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