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Legible AI by Design: Design Research to Frame, Design, Empirically Test and Evaluate AI Iconography

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Legible AI by Design: Design Research to Frame, Design, Empirically Test and Evaluate AI Iconography. / Pilling, Franziska; Akmal, Haider Ali; Gradinar, Adrian et al.
Common Good Framing design through pluralism and social values: Design as Common Good. Swiss Design Network, 2020. p. 2442-2459.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Pilling, F, Akmal, HA, Gradinar, A, Lindley, J & Coulton, P 2020, Legible AI by Design: Design Research to Frame, Design, Empirically Test and Evaluate AI Iconography. in Common Good Framing design through pluralism and social values: Design as Common Good. Swiss Design Network, pp. 2442-2459, Design as common good

, Switzerland, 25/03/21. https://doi.org/10.21606/drs.2020.237

APA

Pilling, F., Akmal, H. A., Gradinar, A., Lindley, J., & Coulton, P. (2020). Legible AI by Design: Design Research to Frame, Design, Empirically Test and Evaluate AI Iconography. In Common Good Framing design through pluralism and social values: Design as Common Good (pp. 2442-2459). Swiss Design Network. https://doi.org/10.21606/drs.2020.237

Vancouver

Pilling F, Akmal HA, Gradinar A, Lindley J, Coulton P. Legible AI by Design: Design Research to Frame, Design, Empirically Test and Evaluate AI Iconography. In Common Good Framing design through pluralism and social values: Design as Common Good. Swiss Design Network. 2020. p. 2442-2459 doi: 10.21606/drs.2020.237

Author

Pilling, Franziska ; Akmal, Haider Ali ; Gradinar, Adrian et al. / Legible AI by Design : Design Research to Frame, Design, Empirically Test and Evaluate AI Iconography. Common Good Framing design through pluralism and social values: Design as Common Good. Swiss Design Network, 2020. pp. 2442-2459

Bibtex

@inproceedings{e5f25d0967234f58b1e46ee8137f4d7d,
title = "Legible AI by Design: Design Research to Frame, Design, Empirically Test and Evaluate AI Iconography",
abstract = "Artificial Intelligence (AI) is becoming increasingly ubiquitous. Implemented into a wide range of everyday applications from social media, shopping, media recommendations and is increasingly making decisions about whether we are eligible for a loan, health insurance and potentially if we are worth interviewing for a job. This proliferation of AI brings many design challenges regarding bias, transparency, fairness, accountability and trust etc. It has been proposed that these challenges can be addressed by considering user agency, negotiability and legibility as defined by Human Data Interaction (HCD). These concepts are independent and interdependent, and it can be argued, by providing solutions towards legibility, we can also address other considerations such as fairness and accountability. In this design research, we address the challenge of legibility and illustrate how design-led research can deliver practical solutions towards legible AI and provide a platform for discourse towards improving user understanding of AI.",
keywords = "Artificial Intelligence, Legibility, Icongraphy, Empirical testing",
author = "Franziska Pilling and Akmal, {Haider Ali} and Adrian Gradinar and Joseph Lindley and Paul Coulton",
year = "2020",
month = dec,
day = "31",
doi = "10.21606/drs.2020.237",
language = "English",
pages = "2442--2459",
booktitle = "Common Good Framing design through pluralism and social values",
publisher = "Swiss Design Network",
note = "Design as common good<br/><br/> : Framing design through pluralism and social values, Design as common good ; Conference date: 25-03-2021 Through 26-03-2021",

}

RIS

TY - GEN

T1 - Legible AI by Design

T2 - Design as common good<br/><br/>

AU - Pilling, Franziska

AU - Akmal, Haider Ali

AU - Gradinar, Adrian

AU - Lindley, Joseph

AU - Coulton, Paul

PY - 2020/12/31

Y1 - 2020/12/31

N2 - Artificial Intelligence (AI) is becoming increasingly ubiquitous. Implemented into a wide range of everyday applications from social media, shopping, media recommendations and is increasingly making decisions about whether we are eligible for a loan, health insurance and potentially if we are worth interviewing for a job. This proliferation of AI brings many design challenges regarding bias, transparency, fairness, accountability and trust etc. It has been proposed that these challenges can be addressed by considering user agency, negotiability and legibility as defined by Human Data Interaction (HCD). These concepts are independent and interdependent, and it can be argued, by providing solutions towards legibility, we can also address other considerations such as fairness and accountability. In this design research, we address the challenge of legibility and illustrate how design-led research can deliver practical solutions towards legible AI and provide a platform for discourse towards improving user understanding of AI.

AB - Artificial Intelligence (AI) is becoming increasingly ubiquitous. Implemented into a wide range of everyday applications from social media, shopping, media recommendations and is increasingly making decisions about whether we are eligible for a loan, health insurance and potentially if we are worth interviewing for a job. This proliferation of AI brings many design challenges regarding bias, transparency, fairness, accountability and trust etc. It has been proposed that these challenges can be addressed by considering user agency, negotiability and legibility as defined by Human Data Interaction (HCD). These concepts are independent and interdependent, and it can be argued, by providing solutions towards legibility, we can also address other considerations such as fairness and accountability. In this design research, we address the challenge of legibility and illustrate how design-led research can deliver practical solutions towards legible AI and provide a platform for discourse towards improving user understanding of AI.

KW - Artificial Intelligence

KW - Legibility

KW - Icongraphy

KW - Empirical testing

U2 - 10.21606/drs.2020.237

DO - 10.21606/drs.2020.237

M3 - Conference contribution/Paper

SP - 2442

EP - 2459

BT - Common Good Framing design through pluralism and social values

PB - Swiss Design Network

Y2 - 25 March 2021 through 26 March 2021

ER -