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X-ORIGINAL-URL:https://digibuild-project.eu/
X-WR-CALNAME:Digibuild
X-WR-CALDESC:European Project
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DTSTART:20260329T030000
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DTSTART:20261025T020000
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UID:MEC-1c1d4df596d01da60385f0bb17a4a9e0@digibuild-project.eu
DTSTART;TZID=Europe/Madrid:20250415T100000
DTEND;TZID=Europe/Madrid:20250415T111500
DTSTAMP:20250401T073308Z
CREATED:20250401
LAST-MODIFIED:20250401
PRIORITY:5
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SUMMARY:Friend, not foe: potential and regulatory frameworks for the use of AI/ML in the built environment
DESCRIPTION:\nIn today’s rapidly evolving urban development landscape, artificial intelligence (AI) and machine learning (ML) are proving to be game-changers in enhancing building energy efficiency and occupant comfort. This webinar will explore the legislative and regulatory frameworks—both current and upcoming—that could facilitate the integration of these cutting-edge technologies into the built environment. By focusing on AI/ML’s potential to revolutionize building management systems, participants will gain valuable insights on driving innovation while ensuring regulatory compliance and protecting stakeholder interests.\nORGANISORS\nInstitute of European Energy and Climate Policy (IEECP)\nEuroheat & Power (EHP)\nThe event is part of Task 6.4 – Guidelines & road mapping for the transition to a digital, sustainable, and resilient built environment; and sub-task T7.2.2 – Dialogue with the DigiBUILD communities / capacity-building workshops and webinars.\nOBJECTIVES\nTo investigate how existing and forthcoming legislative and regulatory frameworks can support and enhance the use of AI/ML to improve energy efficiency and comfort in buildings. (The discussion will focus on DigiBUILD services as a case study to address the impacts on various stakeholders, including policymakers, industry professionals, and end-users. The objective is to extract essential insights and directives necessary to define the regulatory paths that enable the integration of AI technologies in the building sector, while also specifying the compliance, data handling, and privacy expectations and requirements for technology providers).\nTo share knowledge and experience about the development of Digital Twins, with focus on a suggested minimum maturity level.\nTo inform key stakeholders about the potential of digital solutions in the field of building energy efficiency, seeking for feedback that can be meaningful for further developments in DigiBUILD and/or future projects.\nTARGET AUDIENCES\nEU-level decision-makers and policymakers, EU-funded projects and platforms, academia/researchers, building stakeholders, experts of Digital Building Logbook, technology providers and innovators.\nACCESS LEVEL\nThe session will be free and accessible upon previous online registration. It will be recorded; the recording will be later published in the DigiBUILD website and promoted in social media.\nAgenda\nAgenda\n10.00 – 10.05 | Welcome & Intro – George Stravodimos ( mailto:george@ieecp.org ), IEECP\n10.05 – 10.15 | The potential of AI in the evolution of building management systems – ​Stathis Stamatopoulos ( mailto:sstamatopoulos@epu.ntua.gr ), NTUA\n10.15 – 10.25 | Key strategies and policies that guide the development and deployment of AI technologies within the EU (ethical, legal, and socio-economic aspects) – Miguel Alvarez Rodriguez  ( mailto:miguel.alvarez-rodriguez@ec.europa.eu ), CitiVERSE​\n10.25 – 10.35 | AI data-driven tools and methods for Digital Twins: adding value to different stakeholders – TBD (NTUA), DigiBUILD​\n10.35 – 10.45 | Regulation – TBD (NTUA) – Shima Ebrahimi ( mailto:shima@IEECP.ORG ) (IEECP) – Steen Jensen ( mailto:steen.jensen@gradyent.ai ) (Gradyent) , DigiBUILD\n\n(1) How is current regulation hindering innovation in DT\n(2) What challenges should be considered in future policies and regulation\n\n10.45 – 11.10 | Discussion – moderated by George Stravodimos  ( mailto:george@ieecp.org ), IEECP\n11.10 – 11.15 | Closing remarks – Matteo Filippini ( mailto:mf@euroheat.org ), EHP\n\n
URL:https://digibuild-project.eu/events/friend-not-foe-potential-and-regulatory-frameworks-for-the-use-of-ai-ml-in-the-built-environment/
ORGANIZER;CN=DigiBUILD:MAILTO:
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