abstract

Trustworthy AI'21: 1st International Workshop on Trustworthy AI for Multimedia Computing

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Qi ZhaoAuthors Info & Claims

MM '21: Proceedings of the 29th ACM International Conference on Multimedia

Pages 5708 - 5709

https://doi.org/10.1145/3474085.3478583

Published: 17 October 2021 Publication History

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Abstract

In this workshop, we are addressing the trustworthy AI issues for Multimedia Computing. We aim to bring together researchers in the trustworthy aspects of Multimedia Computing and facilitate discussions in injecting trusts into multimedia to develop trustworthy AI techniques that are reliable and acceptable to multimedia researchers and practitioners. Our scope is at the conjunction of multimedia, computer vision and trustworthy AI, including Explainability, Robustness and Safety, Data Privacy, Accountability and Transparency, and Fairness.

Index Terms

Trustworthy AI'21: 1st International Workshop on Trustworthy AI for Multimedia Computing
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision

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Information & Contributors

Information

Published In

MM '21: Proceedings of the 29th ACM International Conference on Multimedia

October 2021

5796 pages

ISBN:9781450386517

DOI:10.1145/3474085

General Chairs:
Heng Tao Shen
University of Electronic Science&Technology of China, China
,
Yueting Zhuang
Zhejiang University, China
,
John R. Smith
IBM, USA
,
Program Chairs:
Yang Yang
University of Electronic Science and Technology of China, China
,
Pablo Cesar
CWI&TU Delft, The Netherlands
,
Florian Metze
FACEBOOK, Inc., USA
,
Balakrishnan Prabhakaran
University of Texas at Dallas, USA

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: 17 October 2021

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Conference

MM '21

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SIGMM

MM '21: ACM Multimedia Conference

October 20 - 24, 2021

Virtual Event, China

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Index Terms

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Trustworthy AI: From Principles to Practices

Trustworthy AI: A Computational Perspective

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