Work package: WP3

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 firms, leaving a significant gap regarding the experiences of SMEs. This research addresses that deficiency by investigating the specific structural … Read more

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 awards are not treated as neutral or purely symbolic instruments, but as influential evaluative mechanisms that translate future-oriented visions of … Read more

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 instruments of democratic accountability within the European AI governance landscape, with close connections to gender-marginalised communities and their lived experiences … Read more

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 and deployerrs of these emerging systems. The analysis is grounded in a Sociology of Expectations (SoE) approach, which understands technological … Read more