Open AccessThe Importance of an Ethical Framework for Trust Calibration in AI
Author(s) -
Amelie Schmid,
Manuel Wiesche
Publication year - 2023
Publication title -
ieee intelligent systems
Language(s) - English
Resource type - Journals
eISSN - 1941-1294
pISSN - 1541-1672
DOI - 10.1109/mis.2023.3320443
Subject(s) - computing and processing , signal processing and analysis , communication, networking and broadcast technologies , components, circuits, devices and systems
The transformative power of AI raises serious concerns about ethical issues within organizations and implicates the need for trust. To cope with that, numerous ethical frameworks are generally published, but only on a theoretical level. Furthermore, proper trust calibration in AI is of high relevance for the workers. Up to now, only limited studies have been carried out to investigate how an ethical framework can foster proper trust calibration of workers in practice. To close this gap, an ethical framework is investigated that ensures trust calibration by targeting AI reliability and AI safety. Finally, the effectiveness of the applied framework is evaluated based on 17 interviews within an international automotive supplier. As a result, this ethical framework led to a major increase in trust. This is a groundbreaking outcome since workers are willing to accept a lower level of AI safety and AI reliability at the same time.