{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T11:56:32Z","timestamp":1777118192630,"version":"3.51.4"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2019,10,23]],"date-time":"2019-10-23T00:00:00Z","timestamp":1571788800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2019,10,23]],"date-time":"2019-10-23T00:00:00Z","timestamp":1571788800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/100010661","name":"Horizon 2020","doi-asserted-by":"crossref","award":["700540"],"award-info":[{"award-number":["700540"]}],"id":[{"id":"10.13039\/100010661","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100010661","name":"Horizon 2020","doi-asserted-by":"crossref","award":["700540"],"award-info":[{"award-number":["700540"]}],"id":[{"id":"10.13039\/100010661","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100009273","name":"Cogito Foundation","doi-asserted-by":"crossref","award":["17-117-S"],"award-info":[{"award-number":["17-117-S"]}],"id":[{"id":"10.13039\/100009273","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100007352","name":"Staatssekretariat f\u00fcr Bildung, Forschung und Innovation","doi-asserted-by":"crossref","award":["16.0052-1"],"award-info":[{"award-number":["16.0052-1"]}],"id":[{"id":"10.13039\/501100007352","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100007352","name":"Staatssekretariat f\u00fcr Bildung, Forschung und Innovation","doi-asserted-by":"crossref","award":["16.0052-1"],"award-info":[{"award-number":["16.0052-1"]}],"id":[{"id":"10.13039\/501100007352","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Philos. Technol."],"published-print":{"date-parts":[[2020,9]]},"abstract":"<jats:title>Abstract<\/jats:title>\n              <jats:p>Real engines of the artificial intelligence (AI) revolution, machine learning (ML) models, and algorithms are embedded nowadays in many services and products around us. As a society, we argue it is now necessary to transition into a <jats:italic>phronetic<\/jats:italic> paradigm focused on the ethical dilemmas stemming from the conception and application of AIs to define actionable recommendations as well as normative solutions. However, both academic research and society-driven initiatives are still quite far from clearly defining a solid program of study and intervention. In this contribution, we will focus on selected ethical investigations around AI by proposing an incremental model of trust that can be applied to both human-human and human-AI interactions. Starting with a quick overview of the existing accounts of trust, with special attention to Taddeo\u2019s concept of \u201ce-trust,\u201d we will discuss all the components of the proposed model and the reasons to trust in human-AI interactions in an example of relevance for business organizations. We end this contribution with an analysis of the epistemic and pragmatic reasons of trust in human-AI interactions and with a discussion of kinds of normativity in trustworthiness of AIs.<\/jats:p>","DOI":"10.1007\/s13347-019-00378-3","type":"journal-article","created":{"date-parts":[[2019,10,23]],"date-time":"2019-10-23T16:02:10Z","timestamp":1571846530000},"page":"523-539","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":165,"title":["In AI We Trust Incrementally: a Multi-layer Model of Trust to Analyze Human-Artificial Intelligence Interactions"],"prefix":"10.1007","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9968-9474","authenticated-orcid":false,"given":"Andrea","family":"Ferrario","sequence":"first","affiliation":[]},{"given":"Michele","family":"Loi","sequence":"additional","affiliation":[]},{"given":"Eleonora","family":"Vigan\u00f2","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,10,23]]},"reference":[{"key":"378_CR1","volume-title":"Prediction machines: the simple economics of artificial intelligence","author":"A Agrawal","year":"2018","unstructured":"Agrawal, A., Gans, J., & Goldfarb, A. 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