Thematic work packages //
WP1: Mid-term policy brief
WP2: Institutional and professional AI success criteria
WP3: SME and CSO success perspectives and gender bias
WP4: Public acceptance, media discourse, and legal challenges
WP5: AI’s impact on the economy
WP6: Aligning AI with EU values
WP7: Policies and governance frameworks
WP8: Scenarios for the democratic use of AI
Filter by thematic work packages
Milestone M4: Report on success criteria of different AI stakeholders
This publication presents a synthesis of the results from FORSEE’s research across social expectations of AI among different stakeholder groups (work packages 2, 3, and 4). It maps how different groups articulate success in artificial
6.5.2026
Mid term policy brief. Forging successful AI in Europe: key challenges and the path forward
Despite the central role of AI in EU policy, there is no shared understanding of what success in its development and deployment should look like. This mid-term policy brief synthesises insights from FORSEE’s first 11
WP1
16.3.2026
Legal challenge landscape
This publication maps the emerging legal challenge landscape surrounding artificial intelligence in the European Union through a comparative analysis of 20 landmark cases between 2022 and 2025. While substantial academic attention has focused on the
WP4
31.1.2026
Media discourse analysis
This publication investigates the construction of AI narratives within the European press, analysing how “success” and “failure” were framed between 2022 and 2025. Through a computational analysis of 31,294 articles across France, Germany, Ireland, and
WP4
31.1.2026
Social media analysis of AI applications
This publication examines how public discourse on social media negotiates, shapes, and contests the definitions of AI “success” and “failure.” Drawing on a comparative dataset of user-generated content from Facebook, TikTok, and YouTube across France,
WP4
31.1.2026
Gendered perspectives among SME representatives
This publication examines how Small and Medium-sized Enterprises (SMEs) perceive and address gender bias in artificial intelligence systems. While AI bias is increasingly recognised as a critical concern, existing literature predominantly focuses on large technology
WP3
31.1.2026
Typology of success criteria for innovative SME awards
This publication develops a typology of how “success” in artificial intelligence (AI) is defined and operationalised through innovation awards within the AI innovation ecosystem, with a particular focus on small and medium-sized enterprises (SMEs). Innovation
WP3
31.1.2026
Analysis of Civil Society Organisations’ perspectives on AI impact on gender imbalance
This report looks into civil society organisations’ (CSOs) perspectives on artificial intelligence, with a particular focus on AI-related gender bias, existing mitigation practices, and the structural constraints shaping CSO engagement. CSOs are positioned as key
WP3
31.1.2026
Narrative framework on success among SME representatives
This report examines how European digital small and medium-sized enterprises’ (SMEs) articulate and understand “success” in relation to artificial intelligence (AI). SME’s are critical actors in the European AI ecosystem, as they are both developers
WP3
31.1.2026
Success criteria by professional associations in the EU
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
WP2
31.1.2026
Success criteria set by ACM and IEEE
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,
WP2
31.1.2026
Evolution of supranational institutional success criteria in post-2018 AI guidelines
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
WP2
31.1.2026
AI Success criteria by national standards and ISO regulatory bodies
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
WP2
31.1.2026
