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 language | English |
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Title of host publication | SIGMOD-Companion 2024 - Companion of the 2024 International Conferaence on Management of Data |
Publisher | Association for Computing Machinery |
Pages | 661-662 |
Number of pages | 2 |
ISBN (Electronic) | 9798400704222 |
State | Published - 9 Jun 2024 |
Event | 2024 International Conferaence on Management of Data, SIGMOD 2024 - Santiago, Chile Duration: 9 Jun 2024 → 15 Jun 2024 |
Publication series
Name | Proceedings of the ACM SIGMOD International Conference on Management of Data |
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ISSN (Print) | 0730-8078 |
Conference
Conference | 2024 International Conferaence on Management of Data, SIGMOD 2024 |
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Country/Territory | Chile |
City | Santiago |
Period | 9/06/24 → 15/06/24 |
Bibliographical note
Publisher Copyright:© 2024 Owner/Author.
Keywords
- data-centric AI
- responsible AI
- responsible data management