Practising Appropriate Trust in Human-Centred AI Design

Chadha Degachi; Siddharth Mehrotra; Mireia Yurrita; Evangelos Niforatos; Myrthe  Tielman

doi:10.1145/3613905.3650825

Practising Appropriate Trust in Human-Centred AI Design

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

5 Citations (Scopus)

16 Downloads (Pure)

Abstract

Appropriate trust, trust which aligns with system trustworthiness, in Artificial Intelligence (AI) systems has become an important area of research. However, there remains debate in the community about how to design for appropriate trust. This debate is a result of the complex nature of trust in AI, which can be difficult to understand and evaluate, as well as the lack of holistic approaches to trust. In this paper, we aim to clarify some of this debate by operationalising appropriate trust within the context of the Human-Centred AI Design (HCD) process. To do so, we organised three workshops with 13 participants total from design and development backgrounds. We carried out design activities to stimulate discussion on appropriate trust in the HCD process. This paper aims to help researchers and practitioners understand appropriate trust in AI through a design lens by illustrating how it interacts with the HCD process.

Original language	English
Title of host publication	CHI EA '24
Subtitle of host publication	Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems
Editors	F. Mueller, P. Kyburz, J.R. Williamson, C. Sas
Place of Publication	New York, NY
Publisher	Association for Computing Machinery (ACM)
Number of pages	8
ISBN (Print)	979-8-4007-0331-7
DOIs	https://doi.org/10.1145/3613905.3650825
Publication status	Published - 2024
Event	CHI Conference on Human Factors in Computing Systems - Honolulu, Hawaii, USA, Honolulu, United States Duration: 11 May 2024 → 16 May 2024 https://chi2024.acm.org

Conference

Conference	CHI Conference on Human Factors in Computing Systems
Abbreviated title	CHI'24
Country/Territory	United States
City	Honolulu
Period	11/05/24 → 16/05/24
Internet address	https://chi2024.acm.org

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

appropriate trust
AI design
human-centered design

Access to Document

10.1145/3613905.3650825

3613905.3650825Final published version, 3.94 MB

Cite this

Degachi, C., Mehrotra, S., Yurrita, M., Niforatos, E., & Tielman, M. (2024). Practising Appropriate Trust in Human-Centred AI Design. In F. Mueller, P. Kyburz, J. R. Williamson, & C. Sas (Eds.), CHI EA '24: Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems Article 269 Association for Computing Machinery (ACM). https://doi.org/10.1145/3613905.3650825

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title = "Practising Appropriate Trust in Human-Centred AI Design",

abstract = "Appropriate trust, trust which aligns with system trustworthiness, in Artificial Intelligence (AI) systems has become an important area of research. However, there remains debate in the community about how to design for appropriate trust. This debate is a result of the complex nature of trust in AI, which can be difficult to understand and evaluate, as well as the lack of holistic approaches to trust. In this paper, we aim to clarify some of this debate by operationalising appropriate trust within the context of the Human-Centred AI Design (HCD) process. To do so, we organised three workshops with 13 participants total from design and development backgrounds. We carried out design activities to stimulate discussion on appropriate trust in the HCD process. This paper aims to help researchers and practitioners understand appropriate trust in AI through a design lens by illustrating how it interacts with the HCD process.",

keywords = "appropriate trust, AI design, human-centered design",

author = "Chadha Degachi and Siddharth Mehrotra and Mireia Yurrita and Evangelos Niforatos and Myrthe Tielman",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; CHI Conference on Human Factors in Computing Systems, CHI'24 ; Conference date: 11-05-2024 Through 16-05-2024",

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doi = "10.1145/3613905.3650825",

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}

Degachi, C , Mehrotra, S, Yurrita, M, Niforatos, E & Tielman, M 2024, Practising Appropriate Trust in Human-Centred AI Design. in F Mueller, P Kyburz, JR Williamson & C Sas (eds), CHI EA '24: Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems., 269, Association for Computing Machinery (ACM), New York, NY, CHI Conference on Human Factors in Computing Systems, Honolulu, United States, 11/05/24. https://doi.org/10.1145/3613905.3650825

Practising Appropriate Trust in Human-Centred AI Design. / Degachi, Chadha ; Mehrotra, Siddharth; Yurrita, Mireia et al.
CHI EA '24: Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems. ed. / F. Mueller; P. Kyburz; J.R. Williamson; C. Sas. New York, NY: Association for Computing Machinery (ACM), 2024. 269.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Niforatos, Evangelos

AU - Tielman, Myrthe

N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2024

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N2 - Appropriate trust, trust which aligns with system trustworthiness, in Artificial Intelligence (AI) systems has become an important area of research. However, there remains debate in the community about how to design for appropriate trust. This debate is a result of the complex nature of trust in AI, which can be difficult to understand and evaluate, as well as the lack of holistic approaches to trust. In this paper, we aim to clarify some of this debate by operationalising appropriate trust within the context of the Human-Centred AI Design (HCD) process. To do so, we organised three workshops with 13 participants total from design and development backgrounds. We carried out design activities to stimulate discussion on appropriate trust in the HCD process. This paper aims to help researchers and practitioners understand appropriate trust in AI through a design lens by illustrating how it interacts with the HCD process.

AB - Appropriate trust, trust which aligns with system trustworthiness, in Artificial Intelligence (AI) systems has become an important area of research. However, there remains debate in the community about how to design for appropriate trust. This debate is a result of the complex nature of trust in AI, which can be difficult to understand and evaluate, as well as the lack of holistic approaches to trust. In this paper, we aim to clarify some of this debate by operationalising appropriate trust within the context of the Human-Centred AI Design (HCD) process. To do so, we organised three workshops with 13 participants total from design and development backgrounds. We carried out design activities to stimulate discussion on appropriate trust in the HCD process. This paper aims to help researchers and practitioners understand appropriate trust in AI through a design lens by illustrating how it interacts with the HCD process.

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DO - 10.1145/3613905.3650825

M3 - Conference contribution

SN - 979-8-4007-0331-7

BT - CHI EA '24

A2 - Mueller, F.

A2 - Kyburz, P.

A2 - Williamson, J.R.

A2 - Sas, C.

PB - Association for Computing Machinery (ACM)

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T2 - CHI Conference on Human Factors in Computing Systems

Y2 - 11 May 2024 through 16 May 2024

ER -

Practising Appropriate Trust in Human-Centred AI Design

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Keywords

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