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Touchpoint
p-ISSN: 1868-6052
e-ISSN: 2940-2778
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From Collaboration to Co-Performance: Designing accountability in AI-enabled servicesÁkos CsertánTouchpoint - From AI to Synthetic Services 17 No. 1 (2026)https://doi.org/10.30819/touchpoint.17-1.07 pp: 37-39 2026-04-20 |
Csertán, Á. (2026). From Collaboration to Co-Performance: Designing accountability in AI-enabled services. Touchpoint - From AI to Synthetic Services, 17 (1), 37-39. doi:10.30819/touchpoint.17-1.07
@article{Csertán_2026,
doi = {10.30819/touchpoint.17-1.07},
url = {https://doi.org/10.30819/touchpoint.17-1.07},
year = 2026,
publisher = {Logos Verlag Berlin},
volume = {17},
number = {1},
pages = {37-39},
author = {Ákos Csertán},
title = {From Collaboration to Co-Performance: Designing accountability in AI-enabled services},
journal = {Touchpoint - From AI to Synthetic Services}
}
url = {https://doi.org/10.30819/touchpoint.17-1.07},
year = 2026,
publisher = {Logos Verlag Berlin},
volume = {17},
number = {1},
pages = {37-39},
author = {Ákos Csertán},
title = {From Collaboration to Co-Performance: Designing accountability in AI-enabled services},
journal = {Touchpoint - From AI to Synthetic Services}
Abstract
Artificial intelligence systems (AI, specifically data-driven systems that generate predictions, classifications or recommendations based on statistical models and/or machine learning techniques) are increasingly used in service design and delivery, embedded in service processes, influencing how decisions are prepared, prioritised and executed. As their role becomes more prominent, it becomes relevant to clarify how responsibility is structured when humans and AI (or AI-enabled) systems both contribute to service outcomes.
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