Work package: WP2

This publication explores how success criteria for Artificial Intelligence are articulated in 22 policies and guidelines issued by legal, healthcare, and engineering professional associations in the EU between 2018 and 2025. Employing a mixed-method approach that combines manual thematic analysis with unsupervised topic modelling (BERTopic), the study maps social expectations across sector-specific themes, including human … Read more

This publication examines how “successful AI” is defined by leading ICT professional bodies, focusing on the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE). It analyses 11 key policies, codes of conduct, guidelines, and standards issued between 2018 and 2025, exploring how professional expectations shape responsible AI development and … Read more

This publication analyses how “successful AI” is defined by supranational institutions. It examines 13 key policies, guidelines, and regulations issued by supranational bodies, including the EU, OECD, UN, and Council of Europe, between 2018 and 2025.   Using a mixed-method approach that combines qualitative thematic analysis with unsupervised topic modelling (BERTopic), the study maps how social … Read more

This publication examines how “successful AI” is defined in international and national technical standards. It analyses 36 AI-related standards and reports issued by ISO/IEC JTC 1/SC 42 and the German Institute for Standardization (DIN) between 2018 and 2025, tracing how social expectations around AI performance, risk, and governance are formally articulated. Using a mixed-method approach … Read more