Geospatial Frontiers: Navigating the Future with Generative AI and Foundational Models

This talk on Generative AI and Foundational Models presents the cutting-edge of AI development, starting with a clear definition of generative AI, its fundamental attributes, and a showcase of the most impactful examples such as GPT-4, Google Gemini, and Llama. It examines how these models are setting benchmarks in the AI landscape and discusses the advantages and challenges that come with the integration of such advanced technologies in various sectors.

The presentation will further delve into the specifics of foundational models, highlighting their key features and the debate surrounding open source versus proprietary models. We will explore the emergence of multimodal AI as a critical advancement and assess its role in enhancing image data analysis. The session will then pivot to the geospatial industry, revealing how foundational models like the NASA-IBM collaboration and tools like Stable Diffusion are creating new pathways for innovation, offering increased API access, open-source initiatives, and robust AI infrastructure.

To wrap up, we will touch on the practical applications of generative AI in the geospatial sector, consider the potential risks and ethical concerns associated with its adoption, and discuss the shaping influence of EU policies like the AI Act and Data Act. Predictions for the future impact of generative AI will set the stage for a closing discussion, inviting participants to engage with the content and contribute their perspectives on the unfolding future of AI.


The AI for Good Global Summit is the leading action-oriented United Nations platform promoting AI to advance health, climate, gender, inclusive prosperity, sustainable infrastructure, and other global development priorities. AI for Good is organized by the International Telecommunication Union (ITU) – the UN specialized agency for information and communication technology – in partnership with 40 UN sister agencies and co-convened with the government of Switzerland.

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Disclaimer:
The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.