[CFP] AAAI-23 Workshop on AI for Social Good

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Bistra Dilkina

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Nov 16, 2022, 2:21:40 PM11/16/22

to Women in Machine Learning

Dear All,

If you work in the space of AI for Social Good including AI Ethics/Justice/Equity and AI for sustainability applications such as public health, habitat, climate, education,

please consider sharing your work in the context of this workshop which will allow for meeting like-minded researchers and growing this community.

Papers that are under review in main conferences or journals are welcome.

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AAAI Workshop on AI for Social Good (AI4SG 2021)

Website: https://amulyayadav.github.io/AI4SG2023/

Submission Link: https://easychair.org/my/conference?conf=aisg23

Important Dates:

Paper Submission Deadline: Nov 20th, 2022

Notification of Acceptance/Rejection: December 5th, 2022

Workshop Date: Feb 13th, 2022

Scope

This workshop complements the objectives of the main conference by providing a forum for AI algorithm designers, such as those working in the areas of agent-based modelling, machine learning, spatio-temporal models, deep learning, explainable AI, fairness, social choice, non-cooperative and cooperative game theory, convex optimization, and planning under uncertainty on innovative and impactful real-world applications. Specifically, this workshop serves two purposes. First, the workshop will provide an opportunity to showcase real-world deployments of AI research. More often than not, unexpected practical challenges emerge when solutions developed in the lab are deployed in the real world, which makes it challenging to utilize complex and well thought out computational/modeling advances. Learning about the challenges faced in these deployments during the workshop will help us understand lessons of moving from the lab to the real world. Second, the workshop will provide opportunities to showcase AI systems which dynamically adapt to changing environments, are robust to errors in execution and planning, and handle uncertainties of different kinds that are common in the real world. Addressing these challenges requires collaboration from different communities including machine learning, game theory, operations research, social science, and psychology. This workshop is structured to encourage a lively exchange of ideas between members from these communities. We encourage submissions to the workshop from: (i) computer scientists who have used (or are currently using) their AI research to solve important real-world problems for society’s benefit in a measurable manner; (ii) interdisciplinary researchers combining AI research with various disciplines (e.g., social science, ecology, climate, health, psychology and criminology); and (iii) engineers and scientists from organizations who aim for social good, and look to build real multi-agent systems.

Topics of Interest

Topics of interest include, but are not limited to the areas identified in the AAAI Special Track on AI for Social Impact:

AISI: Agriculture/Food
AISI: Assistive Technology for Well-Being
AISI: Biodiversity or Habitat
AISI: Computational Social Science
AISI: Climate
AISI: Education
AISI: Economic/Financial
AISI: Energy
AISI: Environmental Sustainability
AISI: Health and Well-Being
AISI: Humanities
AISI: Low and Middle-Income Countries
AISI: Mobility/Transportation
AISI: Natural Sciences
AISI: Web or Social Networks
AISI: Philosophical and Ethical Issues
AISI: Security and Privacy
AISI: Social Development
AISI: Social Welfare, Justice, Fairness and Equality
AISI: Urban Planning and Resilience
AISI: Underserved Communities
AISI: Socially Responsible AI: Fairness, Accountability, and Transparency
AISI: Other Social Impact

Submission Details

EasyChair Link for Paper Submissions: https://easychair.org/my/conference?conf=aisg23

We solicit papers in two categories:

Technical Papers: Full-length research papers of up to 7 pages (excluding references and appendices) detailing high quality work in progress or work that could potentially be published at a major conference in AAAI format.
Short Papers: Position or short papers of up to 4 pages (excluding references and appendices) in AAAI format that describe initial work or the release of privacy-preserving benchmarks and datasets on the topics of interest.

All papers should be submitted in AAAI format. Accepted papers will be selected for oral and poster presentation based on peer review. Submissions are not double-blind; the submitted paper should include author names and affiliations.