IGF 2025 WS #46 Data+AI for Sustainable Industries Growth

    Organizer 1: Technical Community, Western European and Others Group (WEOG)
    Speaker 1: Yale Li, Technical Community, Intergovernmental Organization
    Speaker 2: H E Amb.Prof Muhammadou M O Kah, Government, African Group
    Speaker 3: Melan Xu, Technical Community, Asia-Pacific Group
    Format
    Roundtable
    Duration (minutes): 90
    Format description: The roundtable format encourages open dialogue among diverse stakeholders, enabling deeper exploration of technical, ethical, and policy challenges. Extended duration allows for audience Q&A and interactive problem-solving.
    Policy Question(s)
    1.How can policymakers ensure ethical AI use while fostering innovation in sustainable industries? 2.What international frameworks are needed to facilitate cross-border data sharing for climate action? 3.How can industries balance data privacy concerns with the need for AI-driven resource optimization?
    What will participants gain from attending this session? Attendees will gain insights into cutting-edge AI applications for sustainability, learn about best practices for ethical AI deployment, and explore collaborative models for public-private partnerships. They will acquire tools to balance innovation with regulatory compliance and understand how data sharing can accelerate progress toward SDGs. Diverse perspectives from academia, industry, and policymakers will enrich discussions on equitable technology adoption.
    Description:

    This workshop explores the transformative role of data and AI in driving sustainable industrial growth. By leveraging advanced algorithms and data-driven insights, industries can optimize resource use, reduce waste, and enhance productivity while addressing global sustainability challenges. The session will highlight real-world applications in healthcare, manufacturing, agriculture, and energy, showcasing how AI enables smarter decision-making and fosters innovation. Discussions will address ethical considerations, cross-sector collaboration, and policy frameworks needed to scale AI solutions. Experts will present case studies on reducing carbon footprints, improving supply chain efficiency, and promoting inclusive economic development. The session aims to bridge gaps between technology, policy, and practice, offering actionable strategies for stakeholders to align industrial growth with the UN Sustainable Development Goals (SDGs).
    Expected Outcomes
    1. A policy brief outlining recommendations for ethical AI governance in industrial sectors. 2. A network for ongoing collaboration among stakeholders to advance SDG-aligned innovations. 3. Publication of case studies highlighting successful AI implementations for sustainability.
    Hybrid Format: Interaction: Use live polls (Slido) and a dedicated online chat (Zoom) for real-time questions. Onsite and online moderators will coordinate to ensure equal participation. Experience: Pre-recorded case study videos will be shared with virtual attendees, while breakout rooms will facilitate small-group discussions. Tools: Zoom, Slido, and Miro for collaborative brainstorming.