Transparency in artificial intelligence

Stefan Larsson; Fredrik Heintz

doi:10.14763/2020.2.1469

Transparency in artificial intelligence

Stefan Larsson, Fredrik Heintz

Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

2000 Nedladdningar (Pure)

Sammanfattning

This conceptual paper addresses the issues of transparency as linked to artificial intelligence (AI) from socio-legal and computer scientific perspectives. Firstly, we discuss the conceptual distinction between transparency in AI and algorithmic transparency, and argue for the wider concept ‘in AI’, as a partly contested albeit useful notion in relation to transparency. Secondly, we show that transparency as a general concept is multifaceted, and of widespread theoretical use in multiple disciplines over time, particularly since the 1990s. Still, it has had a resurgence in contemporary notions of AI governance, such as in the multitude of recently published ethics guidelines on AI. Thirdly, we discuss and show the relevance of the fact that transparency expresses a conceptual metaphor of more general significance, linked to knowing, bringing positive connotations that may have normative effects to regulatory debates. Finally, we draw a possible categorisation of aspects related to transparency in AI, or what we interchangeably call AI transparency, and argue for the need of developing a multidisciplinary understanding, in order to contribute to the governance of AI as applied on markets and in society.

Originalspråk	engelska
Sidor (från-till)	1-16
Antal sidor	16
Tidskrift	Internet Policy Review
Volym	9
Nummer	2
DOI	https://doi.org/10.14763/2020.2.1469
Status	Published - 2020 maj 5

Bibliografisk information

Stefan Larsson is a lawyer (LLM) and Associate Professor in Technology and Social Change at Lund University, Department of Technology and Society. He holds a PhD in Sociology of Law as well as a PhD in Spatial Planning and his research focuses on issues of trust and transparency on digital, data-driven markets, and the socio-legal impact of autonomous and AI-driven technologies. In addition, Dr. Larsson is scientific advisor for the Swedish Consumer Agency, the AI Sustainability Center (AISC), as well as the Swedish agency for digital government (DIGG).

Fredrik Heintz is an Associate Professor of Computer Science at Linköping University, where he leads the Stream Reasoning group within the Division of Artificial Intelligence and Integrated Systems (AIICS), at the Department of Computer Science (IDA). His research focus is artificial intelligence, especially autonomous systems, stream reasoning and the intersection between knowledge representation and machine learning. He is the Director of the Graduate School for the Wallenberg AI, Autonomous Systems and Software Program (WASP), the President of the Swedish AI Society (SAIS), a member of the European Commission High-Level Expert Group on AI (AI HLEG), and a scientific advisor for DIGG and AISC.

Ämnesklassifikation (UKÄ)

Datavetenskap (datalogi)
Juridik och samhälle
Tvärvetenskapliga studier

Tillgång till dokument

10.14763/2020.2.1469Licens: CC BY

Larsson & Heintz 2020 Transparency in artificial intelligencePublicerad version, 306 KBLicens: CC BY

5 Kapitel samlingsverk
2 Artikel i vetenskaplig tidskrift
1 Rapport
1 Preprint (i preprint-arkiv)

Four Facets of AI Transparency
Larsson, S., Haresamudram, K., Högberg, C., Lao, Y., Nyström, A., Söderlund, K. & Heintz, F., 2023 nov. 27, Handbook of Critical Studies of Artificial Intelligence. Lindgren, S. (red.). Edward Elgar Publishing, s. 445-455 12 s.
Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Kapitel samlingsverk › Forskning › Peer review

Öppen tillgång
Fil
324 Nedladdningar (Pure)
AI and Patients’ Rights: Transparency and information flows as situated principles in public health care
Högberg, C. & Larsson, S., 2022 apr. 5, De Lege – Yearbook Uppsala Faculty of Law 2021: Law, AI & Digitalization. de Vries, K. & Dahlberg, M. (red.). Uppsala: Iustus förlag, s. 401-429 28 s. (De Lege; vol. 2021).
Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Kapitel samlingsverk › Forskning

Öppen tillgång
Fil
AI i offentlig sektor: Från etiska riktlinjer till lagstiftning
Larsson, S. & Ledendal, J., 2022 apr. 5, De Lege årsbok 2021: Law, AI & Digitalization. de Vries, K. & Dahlberg, M. (red.). Uppsala: Iustus förlag, s. 467-495 28 s. (De Lege årsbok; vol. 2021).
Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Kapitel samlingsverk › Forskning

Öppen tillgång
Fil

3 Avslutade
3 Aktiva

AI-transparens och konsumenters tillit
Larsson, S. (PI), Heintz, F. (Forskare), Söderlund, K. (Forskarstuderande), Haresamudram, K. (Forskarstuderande), Tanqueray, L. (Projektkoordinator) & White, J. (Forskare)
2020/01/01 → 2024/12/31
Projekt: Forskning
AIR Lund: AIR Lund - Användning av artificiell intelligens inom registerforskning
Björk, J. (Forskare), Ohlsson, M. (Forskare), Melander, O. (Forskare), Ekelund, U. (Forskare), Larsson, S. (Forskare), Mattsson, T. (Forskare), Mokhtari, A. (Forskare), de Vries, K. (Forskare), Nilsson, A. (Forskare), Lingman, M. (Forskare), Pashami, S. (Forskare), Ottosson, F. (Forskare), Larsson, A. E. (Administratör), Henriksen, A. (Forskare), Högberg, C. (Forskarstuderande), Olsson, M. (Forskarstuderande), Nyström, A. (Forskarstuderande), Olsson de Capretz, P. (Forskarstuderande), Björkelund, A. (Forskare), Nilsson, A. (Forskare), Åkesson, A. (Forskarstuderande), Nordberg, A. (Forskare), Ekström, M. (Forskare), Tolestam Heyman, E. (Forskarstuderande), Lundager Forberg, J. (Forskare), Berg, J. (Forskarstuderande), Johansson, A. (Forskarstuderande), Amirahmadi, A. (Forskarstuderande), Eriksson, T. (Forskarstuderande), Khoshnood, A. (Forskare), Mäkinen, M. (Forskarstuderande), Müllerová, P. (Forskare) & Nilsson, T. N. (Forskarstuderande)
2018/07/01 → 2024/12/31
Projekt: Forskning
AI Lund: AI-forskning vid Lunds univeristet
Åström, K. (Projektkoordinator), Malec, J. (Projektkoordinator), Larsson, S. (Projektkoordinator), Ohlsson, M. (Projektkoordinator), Balkenius, C. (Projektkoordinator), Dutceac Segesten, A. (Projektkoordinator), Haider, J. (Projektkoordinator), Willim, R. (Projektkoordinator), Ledendal, J. (Projektkoordinator), Aits, S. (Projektkoordinator), Hedlund, M. (Forskare), Wisbrant, J. (Projektkommunikatör), Heiberg, E. (PI), Topp, E. A. (Forskare), Janneck, J. (Forskare), Klang, M. (Forskare), Brinck, I. (Forskare), Sundin, O. (Forskare), Westin, E. (Administratör), Blom Lussi, E. (Projektkoordinator) & Axhamn, J. (Projektkoordinator)
2018/01/01 → …
Projekt: Nätverk

5 Inbjuden talare
1 Deltagit i workshop/ seminarium/ kurs
1 Framträdande i media
1 Föreläsning/debatt/seminarium för allmänheten

The Role of Transparency in the Governance of Artificial Intelligence
Larsson, S. (Huvudtalare)
2024 juni 12
Aktivitet: Föredrag eller presentation › Inbjuden talare
Seminar “Norms, AI and Robots in Society – a European Perspective”
Larsson, S. (Inbjuden talare), Tanqueray, L. (Inbjuden talare), Takahashi, T. (Ordförande) & Ogata, T. (Panelmedlem)
2023 juni 21
Aktivitet: Föredrag eller presentation › Inbjuden talare
Sustainable AI - on the governance of a biased society
Larsson, S. (Huvudtalare)
2021 nov. 18
Aktivitet: Föredrag eller presentation › Inbjuden talare

Citera det här

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abstract = "This conceptual paper addresses the issues of transparency as linked to artificial intelligence (AI) from socio-legal and computer scientific perspectives. Firstly, we discuss the conceptual distinction between transparency in AI and algorithmic transparency, and argue for the wider concept {\textquoteleft}in AI{\textquoteright}, as a partly contested albeit useful notion in relation to transparency. Secondly, we show that transparency as a general concept is multifaceted, and of widespread theoretical use in multiple disciplines over time, particularly since the 1990s. Still, it has had a resurgence in contemporary notions of AI governance, such as in the multitude of recently published ethics guidelines on AI. Thirdly, we discuss and show the relevance of the fact that transparency expresses a conceptual metaphor of more general significance, linked to knowing, bringing positive connotations that may have normative effects to regulatory debates. Finally, we draw a possible categorisation of aspects related to transparency in AI, or what we interchangeably call AI transparency, and argue for the need of developing a multidisciplinary understanding, in order to contribute to the governance of AI as applied on markets and in society.",

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Transparency in artificial intelligence

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