Author ORCID Identifier
https://orcid.org/0000-0002-2961-6680
Document Type
Article
Rights
Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Disciplines
Computer Sciences, Anthropology, Social topics, Interdisciplinary, 6. HUMANITIES, Ethics, 6.5 OTHER HUMANITIES
Abstract
With the widespread of the Internet of things (IoT), algorithms are increasingly managing our everyday life. From navigating our way in cities to keeping track of our health, artificial intelligence has been beneficial to us in many ways. However, its algorithms can also be detrimental as a consequence of biased human programming. The result is that while technological progress delivers more and more human-like artificial intelligence, humans become dehumanised and therefore, disempowered in their everyday interactions with artificial intelligence.The solution(s) is not single-handed and calls for combined interventions at the macro and micro levels. Whilst reviewing recent top-down developments on the front of AI ethics, this article delves into the question of to what extent ordinary citizens can exercise any kind of agency when it comes to artificial intelligence. It does so through a multidimensional approach including analogies and intertextual motions between history, literature, and visual culture. Focussing on the case study of facial recognition software, the article explores the possibilities of imaginative agency as a form of local intelligence capable of dwelling in and contesting [human-made] algorithmic bias.
DOI
https://doi.org/10.13137/1825-5167/30979
Recommended Citation
Ester Toribio-Roura, "Living with Machines. Ethical Implications and Imaginative Agency as Local Tactic[s] of Dwelling and Resistance in Everyday Interactions with Artificial Intelligence" in: "Etica & Politica / Ethics & Politics (2020) XXII/2", EUT Edizioni UniversitĂ di Trieste, Trieste, 2020, pp. 63-87, DOI: 10.13137/1825-5167/30979
Funder
European Commission
Publication Details
Journal
Ethics & Politics, XXII, 2020, 2, pp. 63-87 ISSN: 1825-5167
https://www.openstarts.units.it/handle/10077/30975