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A Collective Approach to Spatial Artificial Intelligence (SAI): A Case for Transparency in Spatial Data Aggregation and SAI Governance

Oct 20

15:35 - 16:00

Description

In the current ecosystem of Spatial artificial intelligence (SAI), access to, applications of and benefits from SAI continue to center power within a small number of individuals and organizations. Citizens are in no way able or prepared to engage with SAI as it exists today, an issue of inequity that will only grow in scope and scale as SAI’s capabilities, capacities and uptake also grow. To address this inequity, a holistic reimagining of the current ecosystem is needed. In this space, my colleagues and I have highlighted the need for what we call ‘Collective SAI’. As we imagine it, Collective SAI would be a citizen-run technological tool that, through its accessibility, transparency, independence and utility, would provide counterbalance to the current power dynamics that define the SAI ecosystem. By matching technology with technology in a practical and achievable way, such an approach is arguably our best hope to ensure equity and justice in the world of SAI now and into the future.

Speakers

Founder & CEO , ABXR Studio

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Researcher , Karlsruhe Institut Fur Technologie
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