In Episode 137 of the AIAW Podcast, Petra Dalunde, Swedish Coordinator for CitCom.ai at the AI TEF SCC, delves into the complex challenges of data quality and governance amidst the evolving requirements of the EU AI Act. She explores the heightened responsibilities imposed by Article 10, which demands rigorous data quality for AI systems, especially those classified as high-risk. This episode sheds light on the often subjective nature of data quality assessments in critical sectors like healthcare and underscores the need for professionalizing data quality roles to meet these stringent expectations.

Dalunde also emphasizes the importance of cross-disciplinary collaboration between policymakers and engineers to tackle these challenges effectively. Beyond policy, she introduces listeners to cutting-edge initiatives such as the Smart Twin project, which utilizes EU funding to empower SMEs in the realm of digital innovation. These initiatives, supported by Test and Experimentation Facilities (TEFs), provide essential resources to fuel AI-driven projects with applications ranging from traffic prediction to educational tools.

The discussion wraps up with a focus on the AI Act’s legislative framework and the subsidy opportunities it presents for Swedish SMEs, ensuring they can access critical support without violating state aid regulations. This episode offers a comprehensive look at the role of AI in smart cities and the strategic funding opportunities available for SMEs to flourish within the EU’s digital landscape.

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