Towards Ecosystems for Responsible AI: Expectations on Sociotechnical Systems, Agendas, and Networks in EU Documents
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-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 language | English |
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Title of host publication | Responsible 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 |
Editors | Denis Dennehy, Anastasia Griva, Nancy Pouloudi, Yogesh K. Dwivedi, Ilias Pappas, Matti Mäntymäki |
Number of pages | 13 |
Place of Publication | Cham |
Publisher | Springer Schweiz |
Publication date | 25.08.2021 |
Pages | 220-232 |
Article number | 20 |
ISBN (print) | 978-3-030-85446-1 |
ISBN (electronic) | 978-3-030-85447-8 |
DOIs | |
Publication status | Published - 25.08.2021 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:
© 2021, IFIP International Federation for Information Processing.
- Informatics - Artificial intelligence, Artificial intelligence governance, Ecosystems
- Business informatics