The AI Experience Centre and its service offerings benefit from the research group’s rich work in maintaining a societal approach to technology and innovation. Specifically within the context of the center SMIT will, next to its research activities on AI and society enable the following services:

  • Creating reflective experiences for visitors on social aspects of AI
  • Audience testing of AI and robotic demos
  • Translating instruments to support the creation of trustworthy AI

The research group Studies in Media, Innovation and Technology (SMIT), established in 1990, is part of the Vrije Universiteit Brussel and imec. It is specialized in fundamental, applied and contract research in the area of ICT and media. SMIT specialises in researching the social scientific aspects of ICT,  combining user, policy and business analysis and using  quantitative and qualitative research methodologies. The Centre’s work is focused  on two programmes: Data & Society and Media & Society. A continuing dialectic between theory and empirical research is one of its high-level objectives. In terms of methodology, SMIT is experienced in:

  • user empowerment studies with a focus on experience, acceptance and (social) impact
  • policy analysis, encompassing evidence based studies, prescriptive and evaluative
  • market impact assessment, governance & business modelling

SMIT leads the Flemish Knowledge Centre for Digital and Media Literacy (mediawijs.be). The Centre works across Flanders to empower citizens to use ICT and media consciously, critically, actively, and creatively to participate in society. Since 2019, it also coordinates the Knowledge Centre Data & Society. This inter-university centre focuses on the interplay between data, artificial intelligence and society. More in particular, the centre translates state-of-the-art global research in AI into tangible handbooks, guidelines and templates to l enable socially responsible, ethical and legally appropriate implementations of AI in Flanders and enable companies, policymakers, regulators and citizens to achieve the greatest social and/or economic benefits of AI.

  • User empowerment studies with a focus on experience, acceptance and (social) impact
  • Policy analysis, encompassing evidence based studies, prescriptive and evaluative
  • Market impact assessment, governance & business modelling