Towards Ecosystems for Responsible AI: Expectations on Sociotechnical Systems, Agendas, and Networks in EU Documents

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

Governing artificial intelligence (AI) requires multi-actor cooperation, but what form could this cooperation take? In recent years, the European Union (EU) has made significant efforts to become a key player in establishing responsible AI. In its strategy documents on AI, the EU has formulated expectations and visions concerning ecosystems for responsible AI. This paper analyzes expectations on potential responsible AI ecosystems in five key EU documents on AI. To analyze these documents, we draw on the sociology of expectations and synthesize a framework comprising cognitive and normative expectations on sociotechnical systems, agendas and networks. We found that the EU documents on responsible AI feature four interconnected themes, which occupy different positions in our framework: 1) trust as the foundation of responsible AI (cognitive–sociotechnical systems), 2) ethics and competitiveness as complementary (normative–sociotechnical systems), 3) European value-based approach (normative–agendas), and 4) Europe as global leader in responsible AI (normative–networks). Our framework thus provides a mapping tool for researchers and practitioners to navigate expectations in early ecosystem development and help decide what to do in response to articulated expectations. The analysis also suggests that expectations on emerging responsible AI ecosystems have a layered structure, where network building relies on expectations about sociotechnical systems and agendas.
Original languageEnglish
Title of host publicationResponsible 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, Galway, Ireland, September 1–3, 2021, Proceedings
EditorsDenis Dennehy, Anastasia Griva, Nancy Pouloudi, Yogesh K. Dwivedi, Ilias Pappas, Matti Mäntymäki
Number of pages13
Place of PublicationCham
PublisherSpringer Schweiz
Publication date25.08.2021
Pages220-232
Article number20
ISBN (print)978-3-030-85446-1
ISBN (electronic)978-3-030-85447-8
DOIs
Publication statusPublished - 25.08.2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021, IFIP International Federation for Information Processing.

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