Four Facets of AI Transparency

Stefan Larsson; Kashyap Haresamudram; Charlotte Högberg; Yucong Lao; Axel Nyström; Kasia Söderlund; Fredrik Heintz

doi:10.4337/9781803928562.00047

Four Facets of AI Transparency

Stefan Larsson, Kashyap Haresamudram, Charlotte Högberg, Yucong Lao, Axel Nyström, Kasia Söderlund, Fredrik Heintz

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

426 Downloads (Pure)

Abstract

Transparency in artificial intelligence (AI) can mean many things, but at the same time, it is currently a central focus for both scientific and regulatory attention. We seek to critically unpack this conceptual vagueness. This is particularly called for given recent focus on transparency in much of AI policy. To this end, we construct our analysis of AI Transparency into four facets. Firstly, (1) explainability (XAI) has become an expanding field in AI, which we argue needs to be complemented by more explicit focus on the (2) mediation of AI-systems functionality, as a communicated artefact. Furthermore, in the policy discourse on AI, the importance of (3) literacy is underscored. We draw from the rich literacy literature in order to show both promising and troubling consequences of this. Lastly, we unpack transparency as a form of governance, within a (4) legal framework encompassing a structure of trade-offs. By these four facets we aim to bring more clarity to the multifaceted concept of transparency in AI.

Original language	English
Title of host publication	Handbook of Critical Studies of Artificial Intelligence
Editors	Simon Lindgren
Publisher	Edward Elgar Publishing
Chapter	39
Pages	445-455
Number of pages	12
ISBN (Electronic)	9781803928562
ISBN (Print)	9781803928555
DOIs	https://doi.org/10.4337/9781803928562.00047
Publication status	Published - 2023 Nov 27

Subject classification (UKÄ)

Other Humanities not elsewhere specified
Other Social Sciences
Other Engineering and Technologies

Free keywords

AI Transparency
explainability
xAI
AI
machine learning
literacy
AI literacy
explainable AI
law as tradeoff
mediation

Access to Document

10.4337/9781803928562.00047

Larsson_et_al__2022__Four Facets of AI TransparencyAccepted author manuscript, 137 KBLicence: Unspecified

5 Article
3 Book chapter

Consumer Trust and Platformised Retail Personalisation
Larsson, S. & Haresamudram, K., 2023 Oct 9, The Future of Consumption: How Technology, Sustainability and Wellbeing will Transform Retail and Customer Experience. Bäckström, K., Egan-Wyer, C. & Samsioe, E. (eds.). Palgrave Macmillan, p. 77-94 18 p.
Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

Open Access
File
30 Downloads (Pure)
Achieving a Data‐Driven Risk Assessment Methodology for Ethical AI
Felländer, A., Rebane, J., Larsson, S., Wiggberg, M. & Heintz, F., 2022 Aug 18, In: Digital Society. 1, 2, p. 1-27 27 p., 13.
Research output: Contribution to journal › Article › peer-review

Open Access
File
174 Downloads (Pure)
Explaining automated decision-making: a multinational study of the GDPR right to meaningful information
Dexe, J., Franke, U., Söderlund, K., Niels, V. B., Hagensby Jensen, R., Lepinkäinen, N. & Vaiste, J., 2022 May 3, In: Geneva papers on risk and insurance. Issues and practice. 47, p. 669–697
Research output: Contribution to journal › Article › peer-review

Open Access

4 Finished
4 Active

ADM-GOV: The Automated Administration: Governance of ADM in the public sector
Larsson, S. (PI), Ledendal, J. (Researcher), Hildén, J. (Researcher), Koulu, R. (Researcher), Koivisto, I. (Researcher), de Vries, K. (Researcher), Kaun, A. (Researcher) & Blom Lussi, E. (Researcher)
2022/08/01 → 2026/07/31
Project: Research
MASAI: Mammography Screening with Artificial Intelligence
Lång, K. (Researcher), Rosso, A. (Researcher), Hofvind, S. (Researcher), Andersson, I. (Researcher), Larsson, S. (Researcher), Högberg, C. (Researcher), Gerdtham, U. (Researcher), Saha, S. (Researcher), Larsson, A.-M. (Researcher), Sartor, H. (Researcher), Josefsson, V. (Researcher), Hagberg, O. (Researcher), Hernström, V. (Researcher) & Schmidt, D. (Researcher)
Cancerfonden
2021/04/12 → 2025/12/31
Project: Research

File
AI in the Name of the Common Good -  Relations of data, AI and humans in health and public sector
Högberg, C. (PI), Larsson, S. (Supervisor), de Vries, K. (Assistant supervisor) & Lång, K. (Assistant supervisor)
Swedish Research Council, Swedish Government Agency for Innovation Systems (Vinnova)
2020/09/01 → 2025/09/01
Project: Dissertation

14 Invited talk
2 Supervision of PhD students
1 Organisation of workshop/ seminar/ course
1 Participation in workshop/ seminar/ course
More
- 1 Presentation
- 1 Research or teaching at external organisation

AI-vägledningar och styrning av AI i offentlig sektor
Larsson, S. (Keynote/plenary speaker) & Kaun, A. (Keynote/plenary speaker)
2024 Sept 10
Activity: Talk or presentation › Invited talk
The Role of Transparency in the Governance of Artificial Intelligence
Larsson, S. (Keynote/plenary speaker)
2024 Jun 12
Activity: Talk or presentation › Invited talk
Exploring governance of human-AI relations: Drawing from recent studies on 'facets of AI transparency', 'socio-legal robotics' and 'necrorobotics'
Larsson, S. (Invited speaker)
2024 Jun 4
Activity: Talk or presentation › Invited talk

Cite this

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title = "Four Facets of AI Transparency",

abstract = "Transparency in artificial intelligence (AI) can mean many things, but at the same time, it is currently a central focus for both scientific and regulatory attention. We seek to critically unpack this conceptual vagueness. This is particularly called for given recent focus on transparency in much of AI policy. To this end, we construct our analysis of AI Transparency into four facets. Firstly, (1) explainability (XAI) has become an expanding field in AI, which we argue needs to be complemented by more explicit focus on the (2) mediation of AI-systems functionality, as a communicated artefact. Furthermore, in the policy discourse on AI, the importance of (3) literacy is underscored. We draw from the rich literacy literature in order to show both promising and troubling consequences of this. Lastly, we unpack transparency as a form of governance, within a (4) legal framework encompassing a structure of trade-offs. By these four facets we aim to bring more clarity to the multifaceted concept of transparency in AI.",

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AU - Heintz, Fredrik

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Four Facets of AI Transparency

Abstract

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Free keywords

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Cite this