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@ -35,7 +35,6 @@
title = {In {AI} We Trust Incrementally: a Multi-layer Model of Trust to Analyze Human-Artificial Intelligence Interactions},
volume = {33},
issn = {2210-5441},
url = {https://doi.org/10.1007/s13347-019-00378-3},
doi = {10.1007/s13347-019-00378-3},
shorttitle = {In {AI} We Trust Incrementally},
abstract = {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 phronetic 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’s concept of “e-trust,” 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}.},
@ -44,7 +43,6 @@
journaltitle = {Philosophy \& Technology},
shortjournal = {Philos. Technol.},
author = {Ferrario, Andrea and Loi, Michele and Viganò, Eleonora},
urldate = {2021-11-03},
date = {2020-09-01},
langid = {english},
file = {Springer Full Text PDF:/home/zenon/Zotero/storage/TKPD5797/Ferrario et al. - 2020 - In AI We Trust Incrementally a Multi-layer Model .pdf:application/pdf},
@ -77,7 +75,6 @@ Publisher: Multidisciplinary Digital Publishing Institute},
shorttitle = {Artificial Intelligence},
publisher = {Pearson},
author = {Russell, Stuart J. and Norvig, Peter},
urldate = {2021-12-13},
date = {2021},
file = {Russell and Norvig - 2021 - Artificial Intelligence A Modern Approach, Global.pdf:/home/zenon/Zotero/storage/LADUV26B/Russell and Norvig - 2021 - Artificial Intelligence A Modern Approach, Global.pdf:application/pdf},
}