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      The personal digital twin, ethical considerations

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          Abstract

          The personal digital twin extends to individual persons, a concept that originated in engineering to twin complex machines with a digital simulation containing a model of its functions to monitor its past and present behaviour, and repair, correct, improve or otherwise ensure its optimal operation. Several independent trends in technological developments are seen to converge towards the elaboration of the digital replication of individual human data and life history, notably in health industries. Among the main ones, we consider the ubiquitous distribution of digital assistants, the rapid progress of machine learning concurrent with the exponential growth of ‘personal’ Big Data and the incipient interest in developing lifelogs. The core hypothesis here is that among the psychological effects of the digital transformation, the externalization of cognitive faculties such as memory, planning and judgement, the decision-making processes located within the human person are also emigrating to digital functions, perhaps as a prelude to a later re-integration within the person via brain–computer interfaces. The paper concludes with ethical considerations about these ongoing developments.

          This article is part of the theme issue ‘Towards symbiotic autonomous systems’.

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          Most cited references10

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          The Self and Autobiographical Memory: Correspondence and Coherence

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            The art of memory

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              Windows into the Soul

              Gary Marx (2016)
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
                Phil. Trans. R. Soc. A.
                The Royal Society
                1364-503X
                1471-2962
                October 04 2021
                August 16 2021
                October 04 2021
                : 379
                : 2207
                : 20200367
                Affiliations
                [1 ]School of Design, Politecnico di Milano, Milan, Lombardy, Italy
                Article
                10.1098/rsta.2020.0367
                34398660
                87c07066-cb01-4c77-9d1e-3bd6e38a14b6
                © 2021

                https://royalsociety.org/journals/ethics-policies/data-sharing-mining/

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