[DMANET] Call for Papers: IJCAI Workshop on Artificial Intelligence for Social Good (AI4SG 2021)

Dear all,

We are organizing a workshop on Artificial Intelligence for Social Good at
IJCAI 2021. Please consider submitting your work to this venue. CFP below!

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*3rd International Virtual IJCAI Workshop on Artificial Intelligence for
Social Good (AI4SG 2021)*

*Website*: https://amulyayadav.github.io/AI4SG2021/
*Submission Link*: https://easychair.org/conferences/?conf=ai4sg2021

*Important Dates:*
Paper Submission Deadline: May 10th, 2021
Notification of Acceptance/Rejection: May 25th, 2021
Workshop Date: August 21st, 2021

*Scope*

The field of Artificial Intelligence stands at an inflection point, and
there could be many different directions in which the future of AI research
could unfold. Accordingly, there is a growing interest to ensure that
current and future AI research is used in a responsible manner for the
benefit of humanity (i.e., for social good). To achieve this goal, a wide
range of perspectives and contributions are needed, spanning the full
spectrum from fundamental research to sustained deployments in the
real-world.

This workshop will explore how AI research can contribute to solving
challenging problems faced by current-day societies. For example, what role
can AI research play in promoting health, sustainable development and
infrastructure security? How can AI initiatives be used to achieve
consensus among a set of negotiating self-interested entities (e.g.,
finding resolutions to trade talks between countries)? To address such
questions, this workshop will bring together researchers and practitioners
across different strands of AI research and a wide range of important
real-world application domains. The objective is to share the current state
of research and practice, explore directions for future work, and create
opportunities for collaboration. In addition, the workshop will place a
special emphasis on highlighting AI approaches for tackling the COVID-19
pandemic. The organizers believe that AI research has an important role to
play in providing unique insights about the pandemic and developing
targeted responses; we encourage submissions from both AI researchers as
well as epidemiologists, health policy researchers, and other domain
experts who are interested in engaging with the IJCAI community.



*Topics of Interest*

We are interested in a broad range of research topics, both foundational
and applied. Topics of interest include, but are not limited to:

- Applications of Learning and Optimization in Societally Beneficial
Domains
- AI Approaches for COVID-19
- Real-world applications of game theory for security
- Cybersecurity
- Security applications of machine learning
- Foundations of game theory for security
- Adversarial/robust learning
- Fake news control
- Privacy protection
- Agent/human interaction for preference elicitation and optimization
- Protection against environmental crime
- Explainable Artificial Intelligence
- AI Environmental Sustainability
- AI for Democracy in the Developing World

*Submission Details*
Submission Types

- Technical Papers: Full-length research papers of up to 6 pages
(excluding references and appendices) detailing high quality work in
progress or work that could potentially be published at a major conference
in IJCAI format.
- Short Papers: Position or short papers of up to 4 pages (excluding
references and appendices) in IJCAI format that describe initial work or
the release of privacy-preserving benchmarks and datasets on the topics of
interest.

All papers must be submitted in PDF format, using the IJCAI-21 author kit
<https://www.ijcai.org/authors_kit>. Submissions should include the
name(s), affiliations, and email addresses of all authors.
Submissions will be refereed on the basis of technical quality, novelty,
significance, and clarity. Each submission will be thoroughly reviewed by
at least two program committee members.
Submissions of papers rejected from the AAMAS 2021 and IJCAI 2021 technical
program are welcomed.
Regards,
Amulya Yadav
PNC Career Development Assistant Professor
Penn State University
http://amulyayadav.com
(On behalf of the AI4SG Organizing Committee)

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