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Special Issue on Responsible AI and Data Science for Social Good - INFORMS Journal on Computing Special Issue

  • 1.  Special Issue on Responsible AI and Data Science for Social Good - INFORMS Journal on Computing Special Issue

    Posted 05-16-2023 17:42
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    Special Issue of INFORMS Journal on Computing

    Responsible AI and Data Science for Social Good

    Introduction

    Artificial intelligence (AI)-based solutions have the potential to address many of the world's most challenging technological and societal problems. As AI systems are becoming more integrated into our daily lives and decision-making processes, it is essential to ensure that they operate responsibly and ethically. To address social problems with an emphasis on human values and ethics, AI and data science solutions should be built based on five major principles; unbiased results, transparency, accountability, social benefit, and privacy. By incorporating these principles into the AI algorithm development process, we can design a responsible AI that is fair and accountable, and that benefits all users without causing harm or bias.

    Special Issue Scope

    This special issue aims to attract manuscripts that are closely connected to solving the UN's sustainable development challenges and have the potential to impact society from the lens of responsible AI and data science. All submissions should design and develop new ML algorithms, cutting-edge software engineering & data science methods, computation tools & techniques, AI models, and real-world case studies that can help operationalize responsible AI and data science to solve challenging societal problems. We invite submissions from researchers, practitioners, and experts in the field of AI and machine learning who are engaged in the responsible development of AI algorithms.

     The editorial statement of the journal is available at https://pubsonline.informs.org/page/ijoc/editorial-statement. Submissions should follow the standard requirements of the INFORMS Journal on Computing articles available at https://pubsonline.informs.org/page/ijoc/submission-guidelines. Please note that the INFORMS Journal on Computing has a data policy https://pubsonline.informs.org/page/ijoc/datapolicy and a software policy https://pubsonline.informs.org/page/ijoc/softwarepolicy

    Details of the special issue can be found at

    https://pubsonline.informs.org/page/ijoc/calls-for-papers

    Timeline

    To be considered for this special issue, an extended abstract (6 pages maximum) must be submitted via the INFORMS Journal on Computing Manuscript central submission system between November 15 – December 31, 2023.  Please note the following dates:

    First-round submissions due date: May 30, 2024

    First-round decisions provided by: July 30, 2024

    Second-round submissions due date: September 30, 2024

    Second-round decisions provided by: November 30, 2024

    Final decisions on papers provided by: January 15, 2025

    Special issue publication TBD in early 2025

    Submission Instructions

    Extended Abstracts and Papers must be submitted online at https://mc.manuscriptcentral.com/ijoc.

    When submitting a paper, please note the following:

    Under "Step 1: Type, Title, & Abstract," select "Special Issue" for "Type."

     Under "Step 5: Details & Comments," answer "This paper is for which special issue?" with "Responsible AI"

    Guest Editors

    Kaushik Dutta

    University of South Florida, United States

    Email: duttak@usf.edu

    Ajay Kumar

    EMLYON Business School, France

    Email: akumar@em-lyon.com

    Zhiling Guo

    Singapore Management University, Singapore

    Email: zhilingguo@smu.edu.sg

    Martin Bichler

    Technical University of Munich, Germany

    Email:  bichler@in.tum.de

    Dursun Delen

    Oklahoma State University, United States

    Email: dursun.delen@okstate.edu

    Editorial Advisors

    Paul Brooks

    JOC Area Editor, Application in Biology, Medicine, and Healthcare

    Department of Information Systems

    Virginia Commonwealth University, United States

    Ram Ramesh

    JOC Area Editor. Data Science, and ML

    School of Management

    University at Buffalo, NY, United States



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    Kaushik Dutta
    Professor & Muma Fellow Director School of information Systems & Management Muma College of Business University of South Florida
    University of South Florida
    Tampa FL
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