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While the predictions can be incredibly accurate about our present and future behavior, there is an important question about how these algorithms in fact represent human identity. In this paper, we explore this question and argue that machine learning algorithms represent human identity in terms of what we shall call the <jats:italic>statistical individual<\/jats:italic>. This statisticalized representation of individuals, we shall argue, differs significantly from our ordinary conception of human identity, which is tightly intertwined with considerations about biological, psychological, and narrative continuity\u2014as witnessed by our most well-established philosophical views on personal identity. Indeed, algorithmic representations of individuals give no special attention to biological, psychological, and narrative continuity and instead rely on predictive properties that significantly exceed and diverge from those that we would ordinarily take to be relevant for questions about how we are.<\/jats:p>","DOI":"10.1007\/s00146-024-01877-4","type":"journal-article","created":{"date-parts":[[2024,3,11]],"date-time":"2024-03-11T18:01:58Z","timestamp":1710180118000},"page":"311-323","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Artificial intelligence and identity: the rise of the statistical individual"],"prefix":"10.1007","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8755-6746","authenticated-orcid":false,"given":"Jens Christian","family":"Bjerring","sequence":"first","affiliation":[]},{"given":"Jacob","family":"Busch","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,3,11]]},"reference":[{"key":"1877_CR1","unstructured":"Ammitzb\u00f8ll Fl\u00fcgge A, Holten M\u00f8ller N, Hildebrandt T, Palmer Olsen H (2022) Er du gr\u00f8n\u2014algoritmer til beslutningst\u00f8tte i det offentlige. En kvalitativ unders\u00f8gelse af sagsbehandleres praksis og brug af ASTA til profilering af nyledige dagpengemodtagere. (Are you green\u2014algorithms for decision support in the public sector. A qualitative study of case handlers' practice and use of ASTA for profiling newly unemployed unemployment benefit recipients). Department of Computer Science, University of Copenhagen. https:\/\/static1.squarespace.com\/static\/5e3ad7fa73600c394b539f6b\/t\/628e3f91ba738054d6b7d90c\/1653489554932\/Er+du+gr%C3%B8n+Algoritmer+til+beslutningsst%C3%B8tte+%28Fl%C3%BCgge+et+al.%2C+2022%29.pdf. Accessed 7 Dec 2023"},{"key":"1877_CR2","first-page":"19","volume":"3","author":"TO Ayodele","year":"2010","unstructured":"Ayodele TO (2010) Types of machine learning algorithms. 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