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. 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

The workshop organizers invite paper submissions on the following (and related) topics:
  • 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

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.

Format

The workshop will be a one-day meeting. It will include a number of (possibly parallel) technical sessions, a virtual 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

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

Important Dates

  • May 17, 2021 AOE – Submission Deadline
  • June 1, 2021 – Acceptance notification
  • August 21, 2021, 10 AM - 4 PM EST – Workshop Date (First Half)
  • August 21, 2021, 8 PM - 2 AM EST – Workshop Date (First Half)

Submission Information

Submission URL: Easychair Link

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. 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.

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

Program

  1. 10 AM - 11 AM EST: Invited Talk TBA
  2. 11 AM - 11:20 AM EST: Generative Transfer Learning from Few Shots: Covid-19 Classification with a few Chest X-ray Images. Suvarna Kadam and Vinay Vaidya.
  3. 11:20 - 11:40 AM EST: Hamdard - An NLP and ML based Maternity Companion in Urdu. Maham Zehra, Shiza Khalidi, Eraj Rizwan, Behjet Ansari and Saleha Raza .
  4. 11:40 - 12:00 PM EST: Hierarchical Semantic Sonification for the Visually Impaired. Andrew Gambardella and Jinjoon Lee.
  5. 12:00 PM - 12:20 PM EST: Deep Ensemble Networks for the identification of Parasitized Malaria from Blood Smear Cellular Images. Dipam Paul and Alankrita Tewari.
  6. 12:20 PM - 12:40 PM EST: Nested Named-Entity Recognition on Vietnamese COVID-19: Dataset and Experiments. Ngoc Le, Hai-Chung Nguyen-Phung, Thu-Huong Pham-Thi, Hue Vu, Phuong-Thao Nguyen-Thi, Thu-Thuy Tran, Hong-Nhung Le-Thi, Thuy-Duong Nguyen-Thi and Thanh-Huy Nguyen.
  7. 12:40 PM - 1:00 PM EST: Beyond a binary of (non)racist tweets: A four-dimensional categorical detection and analysis of racist and xenophobic opinions on Twitter in early Covid-19. Xin Pei and Deval Mehta.
  8. 1:00 PM - 1:20 PM EST: A Brief Summary on Covid-19 Pandemic and Machine Learning Approaches. Ezgi Korkmaz.
  9. 1:20 PM - 1:40 PM EST: On learning the effects of healthcare overextension on increased mortality rate in the COVID-19 pandemic. Noel Schutt, Kathleen Lois Foster and Alessandro Maria Selvitella.
  10. 1:40 PM - 2:00 PM EST: Improving Mini BERT’s predictions on COVID Fake News using Multilingual Knowledge Distillation. Ishan Kumar and Shikhar Saxena.
  11. 2:00 PM - 2:30 PM EST: 30 minute break
  12. 2:30 PM - 2:50 PM EST: Can Self Reported Symptoms Predict Daily COVID-19 Cases?. Parth Patwa, Viswanatha Reddy, Rohan Sukumaran, Sethuraman Tv, Eptehal Nashnoush, Sheshank Shankar, Rishemjit Kaur, Abhishek Singh and Ramesh Raskar.
  13. 2:50 PM - 3:10 PM EST: COVID-19 and Population Structure in US States. April Chen, Bryan Wilder, Maia Majumder and Milind Tambe.
  14. 3:10 PM - 3:30 PM EST: Assessing Community Vulnerability Due to the Impact of COVID-19. Savannah Thais, Shaine Leibowitz, Alexandra Passarelli, Alejandra Rios Gutierrez, Stephanie Santo and Nora Shipp.
  15. 3:30 PM - 3:50 PM EST: Can Self Reported Symptoms Predict Daily COVID-19 Cases?. Parth Patwa, Viswanatha Reddy, Rohan Sukumaran, Sethuraman Tv, Eptehal Nashnoush, Sheshank Shankar, Rishemjit Kaur, Abhishek Singh and Ramesh Raskar.
  16. 8 PM - 9 PM EST: Invited Talk TBA
  17. 9 PM - 9:20 PM EST: Sequential Fair Allocation: The Envy-Efficiency Uncertainty Principle. Sean Sinclair, Siddhartha Banerjee and Christina Yu.
  18. 9:20 - 9:40 PM EST: Segmented Federated Learning for Adaptive Intrusion Detection System. Geet Shingi, Harsh Saglani and Preeti Jain.
  19. 9:40 - 10:00 PM EST: Mapping Slums with Medium Resolution Satellite Imagery: a Comparative Analysis of Techniques using Multi-Spectral Data and Grey-level Co-occurrence Matrix. Agatha C Hennigen de Mattos, Gavin McArdle and Michela Bertolotto.
  20. 10:00 PM - 10:20 PM EST: AI with Volunteering Communities. Jakob Stolberg-Larsen.
  21. 10:20 PM - 10:40 PM EST: Parsing Birdsong with Deep Audio Embeddings. Irina Tolkova, Brian Chu, Marcel Hedman, Stefan Kahl and Holger Klinck.
  22. 10:40 PM - 11:00 PM EST: Automated Handwritten Character Scoring System for Urdu e-Learning. Huda Feroz, Hareem Feroz Ahmed, Kainat Abbasi, Faraz Ahmed Khan, Mudasir Hanif Shaikh and Syeda Saleha Raza.
  23. 11:00 PM - 11:30 PM EST: 30 minute break
  24. 11:30 PM - 11:50 PM EST: Computer Vision for Detection of Illegal Mining Barges in the Rio Madeira. Julian Lee, Eric Lin, Maggie Wang and Sayak Maity.
  25. 11:50 PM - 12:10 AM EST: Discrepancies in Epidemiological Modeling of Aggregated Heterogeneous Data. Anna Trella, Peniel Argaw, Michelle Li and James Hay.
  26. 12:10 AM - 12:30 AM EST: Statistical Analysis of Perspective Scores on Hate Speech Detection. Hadi Mansourifar, Dana Alsagheer, Weidong Shi, Lan Ni and Yan Huang.
  27. 12:30 AM - 12:50 AM EST: Can Explainable AI Explain Unfairness? A Framework for Evaluating Explainable AI. Kiana Alikhademi, Brianna Richardson, Emma Drobina and Juan E. Gilbert.
  28. 12:50 AM - 1:10 AM EST: Countering Attacker Data Manipulation in Security Games. Ryan Butler, Thanh Nguyen and Arunesh Sinha.
  29. 1:10 AM - 1:30 AM EST: Classifying and Analysing Human-Wildlife Conflicts in India using News Articles. Gokhan Egri, Zilin Ma, Xinran Han and Sunandan Chakraborty.
  30. 1:30 AM - 1:50 AM EST: Learning to Design Fair and Private Voting Rules. Farhad Mohsin, Ao Liu, Pin-Yu Chen, Francesca Rossi and Lirong Xia.
  31. 1:50 AM - 2:10 AM EST: Deep Learning Approaches for Teleseismic Discrimination and its Societal Implications. Rayna Arora and Ronan Le Bras.

Workshop Chairs

Amulya Yadav

Penn State University

amulya@psu.edu

Haipeng Chen

Harvard University

hpchen@seas.harvard.edu

Sasha Luccioni

Mila, Universite de Montreal

sasha.luccioni@mila.quebec

Thanh Nguyen

University of Oregon

thanhhng@cs.uoregon.edu