First Workshop on Governance, Understanding and Integration of Data for Effective and Responsible AI (GUIDE-AI)
Authors: 
Abolfazl Asudeh, 
Sainyam Galhotra, Amir Gilad, Babak Salimi, Brit YoungmannAuthors Info & Claims
Abolfazl Asudeh, Sainyam Galhotra, Amir Gilad, Babak Salimi, Brit YoungmannAuthors Info & ClaimsPages 661 - 662
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.
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Index Terms
- First Workshop on Governance, Understanding and Integration of Data for Effective and Responsible AI (GUIDE-AI)
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Information & Contributors
Information
Published In
June 2024
694 pages
ISBN:9798400704222
DOI:10.1145/3626246
- General Chairs:
- Pablo Barcelo,
- Nayat Sanchez-Pi,
- Program Chairs:
- Alexandra Meliou,
- S. Sudarshan
Copyright © 2024 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 09 June 2024
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SIGMOD/PODS '24
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