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

[Kaushik Dutta]

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 at usf.edu<mailto:duttak at usf.edu>

Ajay Kumar
EMLYON Business School, France
Email: akumar at em-lyon.com<mailto:akumar at em-lyon.com>

Zhiling Guo
Singapore Management University, Singapore
Email: zhilingguo at smu.edu.sg<mailto:zhilingguo at smu.edu.sg>

Martin Bichler
Technical University of Munich, Germany
Email:  bichler at in.tum.de<mailto:bichler at in.tum.de>

Dursun Delen
Oklahoma State University, United States
Email: dursun.delen at okstate.edu<mailto:dursun.delen at 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, PhD
Director, School of Information Systems and Management
Muma College of Business, University of South Florida