A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä
Ethics-based AI auditing : A systematic literature review on conceptualizations of ethical principles and knowledge contributions to stakeholders
Tekijät: Laine Joakim, Minkkinen Matti, Mäntymäki Matti
Kustantaja: Elsevier
Julkaisuvuosi: 2024
Journal: Information and Management
Tietokannassa oleva lehden nimi: Information & Management
Artikkelin numero: 103969
Vuosikerta: 61
Numero: 5
ISSN: 0378-7206
eISSN: 1872-7530
DOI: https://doi.org/10.1016/j.im.2024.103969
Verkko-osoite: https://doi.org/10.1016/j.im.2024.103969
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/393422189
This systematic literature review synthesizes the conceptualizations of ethical principles in AI auditing literature and the knowledge contributions to the stakeholders of AI auditing. We explain how the literature discusses fairness, transparency, non-maleficence, responsibility, privacy, trust, beneficence, and freedom/autonomy. Conceptualizations vary along social/technical- and process/outcome-oriented dimensions. The main stakeholders of ethics-based AI auditing are system developers and deployers, the wider public, researchers, auditors, AI system users, and regulators. AI auditing provides three types of knowledge contributions to stakeholders: 1) guidance; 2) methods, tools, and frameworks; and 3) awareness and empowerment.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
