Standard
A Multi-level Analysis of Mistrust/Trust Formation in Algorithmic Grading. /
Jackson, Stephen; Panteli, Niki.
Responsible AI and Analytics for an Ethical and Inclusive Digitized Society - 20th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2021, Proceedings. ed. / Denis Dennehy; Anastasia Griva; Nancy Pouloudi; Yogesh K. Dwivedi; Yogesh K. Dwivedi; Ilias Pappas; Ilias Pappas; Matti Mantymaki. Springer Science and Business Media Deutschland GmbH, 2021. p. 737-743 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12896 LNCS).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Jackson, S & Panteli, N 2021,
A Multi-level Analysis of Mistrust/Trust Formation in Algorithmic Grading. in D Dennehy, A Griva, N Pouloudi, YK Dwivedi, YK Dwivedi, I Pappas, I Pappas & M Mantymaki (eds),
Responsible AI and Analytics for an Ethical and Inclusive Digitized Society - 20th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12896 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 737-743, 20th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2021, Galway, Ireland,
1/09/21.
https://doi.org/10.1007/978-3-030-85447-8_61
APA
Jackson, S., & Panteli, N. (2021).
A Multi-level Analysis of Mistrust/Trust Formation in Algorithmic Grading. In D. Dennehy, A. Griva, N. Pouloudi, Y. K. Dwivedi, Y. K. Dwivedi, I. Pappas, I. Pappas, & M. Mantymaki (Eds.),
Responsible AI and Analytics for an Ethical and Inclusive Digitized Society - 20th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2021, Proceedings (pp. 737-743). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12896 LNCS). Springer Science and Business Media Deutschland GmbH.
https://doi.org/10.1007/978-3-030-85447-8_61
Vancouver
Jackson S, Panteli N.
A Multi-level Analysis of Mistrust/Trust Formation in Algorithmic Grading. In Dennehy D, Griva A, Pouloudi N, Dwivedi YK, Dwivedi YK, Pappas I, Pappas I, Mantymaki M, editors, Responsible AI and Analytics for an Ethical and Inclusive Digitized Society - 20th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 737-743. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-85447-8_61
Author
Jackson, Stephen ; Panteli, Niki. /
A Multi-level Analysis of Mistrust/Trust Formation in Algorithmic Grading. Responsible AI and Analytics for an Ethical and Inclusive Digitized Society - 20th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2021, Proceedings. editor / Denis Dennehy ; Anastasia Griva ; Nancy Pouloudi ; Yogesh K. Dwivedi ; Yogesh K. Dwivedi ; Ilias Pappas ; Ilias Pappas ; Matti Mantymaki. Springer Science and Business Media Deutschland GmbH, 2021. pp. 737-743 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Bibtex
@inproceedings{c9a2641dac094557a24e3ada85bf1906,
title = "A Multi-level Analysis of Mistrust/Trust Formation in Algorithmic Grading",
abstract = "While the concept of trust continues to grow in importance among information systems (IS) researchers and practitioners, an investigation of mistrust/trust for- mation in algorithmic grading across multiple levels of analysis has so far been under researched. This paper proposes a multi-level model for analyzing the for- mation of mistrust/trust in algorithmic grading. More specifically, the model ex- amines multiple levels at play by considering how top-down forces may stimulate mistrust/trust at lower levels, but also how lower-level activity can influence mis- trust/trust formation at higher levels. We briefly illustrate how the model can be applied by drawing on the case of the Advanced Level student fiasco in the United Kingdom (UK) that came to head during August 2020, whereby an algorithm was used to determine student grades. Although the paper positions trust as a multifaceted concept, it also acknowledges the importance of researchers to be mindful of issues pertaining to emergence, duality, context, and time.",
keywords = "Algorithmic grading, Mistrust, Multi- level theory, Multi-level analysis, Trust",
author = "Stephen Jackson and Niki Panteli",
year = "2021",
month = aug,
day = "25",
doi = "10.1007/978-3-030-85447-8_61",
language = "English",
isbn = "9783030854461",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "737--743",
editor = "Denis Dennehy and Anastasia Griva and Nancy Pouloudi and Dwivedi, {Yogesh K.} and Dwivedi, {Yogesh K.} and Ilias Pappas and Ilias Pappas and Matti Mantymaki",
booktitle = "Responsible AI and Analytics for an Ethical and Inclusive Digitized Society - 20th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2021, Proceedings",
address = "Germany",
note = "20th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2021 ; Conference date: 01-09-2021 Through 03-09-2021",
}
RIS
TY - GEN
T1 - A Multi-level Analysis of Mistrust/Trust Formation in Algorithmic Grading
AU - Jackson, Stephen
AU - Panteli, Niki
PY - 2021/8/25
Y1 - 2021/8/25
N2 - While the concept of trust continues to grow in importance among information systems (IS) researchers and practitioners, an investigation of mistrust/trust for- mation in algorithmic grading across multiple levels of analysis has so far been under researched. This paper proposes a multi-level model for analyzing the for- mation of mistrust/trust in algorithmic grading. More specifically, the model ex- amines multiple levels at play by considering how top-down forces may stimulate mistrust/trust at lower levels, but also how lower-level activity can influence mis- trust/trust formation at higher levels. We briefly illustrate how the model can be applied by drawing on the case of the Advanced Level student fiasco in the United Kingdom (UK) that came to head during August 2020, whereby an algorithm was used to determine student grades. Although the paper positions trust as a multifaceted concept, it also acknowledges the importance of researchers to be mindful of issues pertaining to emergence, duality, context, and time.
AB - While the concept of trust continues to grow in importance among information systems (IS) researchers and practitioners, an investigation of mistrust/trust for- mation in algorithmic grading across multiple levels of analysis has so far been under researched. This paper proposes a multi-level model for analyzing the for- mation of mistrust/trust in algorithmic grading. More specifically, the model ex- amines multiple levels at play by considering how top-down forces may stimulate mistrust/trust at lower levels, but also how lower-level activity can influence mis- trust/trust formation at higher levels. We briefly illustrate how the model can be applied by drawing on the case of the Advanced Level student fiasco in the United Kingdom (UK) that came to head during August 2020, whereby an algorithm was used to determine student grades. Although the paper positions trust as a multifaceted concept, it also acknowledges the importance of researchers to be mindful of issues pertaining to emergence, duality, context, and time.
KW - Algorithmic grading
KW - Mistrust
KW - Multi- level theory
KW - Multi-level analysis
KW - Trust
U2 - 10.1007/978-3-030-85447-8_61
DO - 10.1007/978-3-030-85447-8_61
M3 - Conference contribution/Paper
AN - SCOPUS:85115184221
SN - 9783030854461
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 737
EP - 743
BT - Responsible AI and Analytics for an Ethical and Inclusive Digitized Society - 20th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2021, Proceedings
A2 - Dennehy, Denis
A2 - Griva, Anastasia
A2 - Pouloudi, Nancy
A2 - Dwivedi, Yogesh K.
A2 - Dwivedi, Yogesh K.
A2 - Pappas, Ilias
A2 - Pappas, Ilias
A2 - Mantymaki, Matti
PB - Springer Science and Business Media Deutschland GmbH
T2 - 20th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2021
Y2 - 1 September 2021 through 3 September 2021
ER -
