First Workshop on Governance, Understanding and Integration of Data for Effective and Responsible AI (GUIDE-AI)

Abolfazl Asudeh, Sainyam Galhotra, Amir Gilad, Babak Salimi, Brit Youngmann

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the recent advancements in artificial intelligence (AI) and Machine Learning (ML), data-driven automated systems are being deployed in numerous high-stakes applications. Central to AI's effectiveness is its foundation in data. This workshop aims to bring together researchers from academia and industry to discuss the role of data management to guide the trustworthy design of AI-based applications. We plan the first edition of the workshop to include invited talks and a panel discussion with researchers from neighboring communities like ML, FAccT, HCI and Theoretical Computer science. The workshop aims to create a collaborative platform for these diverse communities to contribute to the evolving narrative of responsible AI development.

Original languageEnglish
Title of host publicationSIGMOD-Companion 2024 - Companion of the 2024 International Conferaence on Management of Data
PublisherAssociation for Computing Machinery
Pages661-662
Number of pages2
ISBN (Electronic)9798400704222
StatePublished - 9 Jun 2024
Event2024 International Conferaence on Management of Data, SIGMOD 2024 - Santiago, Chile
Duration: 9 Jun 202415 Jun 2024

Publication series

NameProceedings of the ACM SIGMOD International Conference on Management of Data
ISSN (Print)0730-8078

Conference

Conference2024 International Conferaence on Management of Data, SIGMOD 2024
Country/TerritoryChile
CitySantiago
Period9/06/2415/06/24

Bibliographical note

Publisher Copyright:
© 2024 Owner/Author.

Keywords

  • data-centric AI
  • responsible AI
  • responsible data management

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