  Geospatial Artificial Intelligence (GeoAI) is an interdisciplinary field
enjoying tremendous adoption. However, the efficient design and implementation
of GeoAI systems face many open challenges. This is mainly due to the lack of
non-standardized approaches to artificial intelligence tool development,
inadequate platforms, and a lack of multidisciplinary engagements, which all
motivate domain experts to seek a shared stage with scientists and engineers to
solve problems of significant impact on society. Since its inception in 2017,
the GeoAI series of workshops has been co-located with the Association for
Computing Machinery International Conference on Advances in Geographic
Information Systems. The workshop series has fostered a nexus for
geoscientists, computer scientists, engineers, entrepreneurs, and
decision-makers, from academia, industry, and government to engage in
artificial intelligence, spatiotemporal data computing, and geospatial data
science research, motivated by various challenges. In this article, we revisit
and discuss the state of GeoAI open research directions, the recent
developments, and an emerging agenda calling for a continued cross-disciplinary
community engagement.
