TY - CHAP

T1 - Towards Ecosystems for Responsible AI

T2 - Expectations on Sociotechnical Systems, Agendas, and Networks in EU Documents

AU - Minkkinen, Matti

AU - Zimmer, Markus Philipp

AU - Mäntymäki, Matti

N1 - Publisher Copyright: © 2021, IFIP International Federation for Information Processing.

PY - 2021/8/25

Y1 - 2021/8/25

N2 - 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.

AB - 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.

KW - Informatics

KW - Artificial intelligence

KW - Artificial intelligence governance

KW - Ecosystems

KW - Business informatics

UR - http://www.scopus.com/inward/record.url?scp=85115124736&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/5b84f59e-a282-3357-8711-22d9ed883ae5/

U2 - 10.1007/978-3-030-85447-8_20

DO - 10.1007/978-3-030-85447-8_20

M3 - Article in conference proceedings

SN - 978-3-030-85446-1

T3 - Lecture Notes in Computer Science

SP - 220

EP - 232

BT - Responsible AI and Analytics for an Ethical and Inclusive Digitized Society

A2 - Dennehy, Denis

A2 - Griva, Anastasia

A2 - Pouloudi, Nancy

A2 - Dwivedi, Yogesh K.

A2 - Pappas, Ilias

A2 - Mäntymäki, Matti

PB - Springer Schweiz

CY - Cham

ER -