Towards Responsible Spatial Data Science and Geo-AI

Jayant Gupta, Shuai An, Shashi Shekhar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Responsible Geo-AI encourages the design and development of spatial methods, processes, algorithms, and systems to discover spatial patterns (e.g., hotspots, colocations) that reduce adverse impacts on the communities that use them. We propose a vision of Geo-AI which can be found at the intersection of spatial data science and the emerging paradigm of responsible AI. Increasingly, governments and industry are calling for ethical and responsible application of AI research. Through this paper, we hope to encourage engagement with the topic of responsible computing, highlight some of the relevant challenges in the field of spatial data science, and advocate for the inclusion of ethical principles in addressing them.

Original languageEnglish (US)
Title of host publication15th International Conference on Contemporary Computing, IC3 2023
EditorsSundaraja Sitharama Iyengar, Vikas Saxena
PublisherAssociation for Computing Machinery
Pages545-551
Number of pages7
ISBN (Electronic)9798400700224
DOIs
StatePublished - Aug 3 2023
Event15th International Conference on Contemporary Computing, IC3 2023 - Noida, India
Duration: Aug 3 2023Aug 5 2023

Publication series

NameACM International Conference Proceeding Series

Conference

Conference15th International Conference on Contemporary Computing, IC3 2023
Country/TerritoryIndia
CityNoida
Period8/3/238/5/23

Bibliographical note

Publisher Copyright:
© 2023 ACM.

Keywords

  • Accountability
  • Ethics
  • Fairness
  • Transparency

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