Scope and Topics

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. The workshop will be a very nice complement to the AAAI Special Track on AI for Social Impact as it will provide a forum where researchers interested in this area can connect in a more direct way.

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 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

Finally, the workshop will welcome papers that describe the release of benchmarks and data sets that can be used by the community to solve fundamental problems of interest, including in machine learning and optimization for health systems and urban networks, to mention but a few examples.


The workshop will be a one-day meeting. It will include a number of (possibly parallel) technical sessions, a poster session where presenters can discuss their work, with the aim of further fostering collaborations, multiple invited speakers covering crucial challenges for the field of AI for Social Good and learning and will conclude with a panel discussion.


Attendance is open to all. At least one author of each accepted submission must be present at the workshop.

Important Dates

  • November 20, 2022 AOE November 30, 2022 AOE – Submission Deadline
  • December 14, 2022 – Acceptance Notifications to Authors
  • January 14, 2023 – Camera Ready Versions Due Date
  • February 14, 2023, 8 AM - 6 PM EST – Workshop Date & Time

Keynote Speakers

Philip Nelson

Director of Engineering
Google Research

Vipin Kumar

Regents Professor & William Norris Endowed Chair
University of Minnesota

Rahul Dodhia

Deputy Director
Microsoft AI for Good Research Lab

Amarjot Singh

Founder & CEO
Skylark Labs

Submission Information

Submission URL: Easychair Link

Submission Types

  • 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.

Archival Policy

There will be no official proceedings of the workshop. Therefore, papers getting accepted and presented at this workshop does not preclude authors from submitting their work in other conferences or journals.

However, the default assumption is that all camera ready versions of the papers accepted (and presented) at this workshop will be uploaded to the workshop website after January 14th, 2023 (which is the due date for submitting camera-ready papers). If any author would not like to have their camera-ready versions uploaded to the this workshop website (because of some conflict of interest), please reach out to the workshop chairs and we would be happy to accommodate such requests.

Additional Details

All papers must be submitted in PDF format, using the AAAI-23 author 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 AAAI 2023 technical program are welcomed.

For questions about the submission process, contact the workshop chairs.

Workshop Chairs

Amulya Yadav

Penn State University

Bistra Dilkina

University of Southern California