| Vol-2884 urn:nbn:de:0074-2884-1 Copyright © 2020 for the individual papers by the papers' authors. Copyright © 2020 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# AI4SG 2020
AAAI Fall Symposium on AI for Social Good

### Proceedings of the AAAI Fall Symposium on AI for Social Good

### Virtual Symposium, November 13-14, 2020.

Edited by

### Hemant Purohit *
Oshani Seneviratne **
Muhammad Aurangzeb Ahmad ***

* Information Sciences & Technology Department, George Mason University, USA
** Institute for Data Exploration and Applications (IDEA), Rensselaer Polytechnic Institute, USA
*** KenSci Inc., USA and University of Washington Tacoma, USA

## Table of Contents

- Preface
  Summary: There were 28 papers submitted for peer-review to this workshop. Out of these, 25 papers were accepted for this volume, 22 as regular papers and 3 as short papers.

### Session: Papers

- Designing Emergency Response Pipelines : Lessons and Challenges
  Ayan Mukhopadhyay, Geoffrey Pettet, Mykel Kochenderfer, Abhishek Dubey
- Lessons Learned from Problem Gambling Classification: Indirect Discrimination and Algorithmic Fairness
  Christian Percy, Artur Garcez, Simo Dragicevic, Sanjoy Sarkar
- Direct Multi-Step Forecasting with Multiple Time Series using XGBoost: Projecting COVID-19 Positive Hospitalization Census for a Southern Idaho Health System
  Drake Anshutz, Andrew Crisp, James Ford, Onur Torusoglu, Justin Smith
- Human Trafficking Screening in Humanitarian Relief and Development
  Hannah Thinyane
- AI against Modern Slavery: Digital Insights into Modern Slavery Reporting - Challenges and Opportunities
  Nyasha Weinberg, Adriana Bora, Francisca Sassetti, Katharine Bryant, Edgar Rootalu, Karyna Bikziantieieva, Laureen van Breen, Patricia Carrier, Yolanda Lannquist, Nicolas Miailhe
- Reinforcement Learning for Optimization of COVID-19 Mitigation Policies
  Varun Kompella, Roberto Capobianco, Stacy Jong, Jonathan Browne, Spencer Fox, Lauren Meyers, Peter Wurman, Peter Stone
- Arguments as Social Good: Good Arguments in Times of Crisis
  Johannes Daxenberger, Iryna Gurevych
- Emergency Department Optimization and Load Prediction in Hospitals
  Karthik K. Padthe, Vikas Kumar, Carly M. Eckert, Nicholas M. Mark, Anam Zahid, Muhammad Aurangzeb Ahmad, Ankur Teredesai
- Data Collection and Annotation Pipeline for Social Good Projects
  Christoph Scheunemann, Julian Naumann, Max Eichler, Kevin Stowe, Iryna Gurevych
- Robust Lock-Down Optimization for COVID-19 Policy Guidance
  Ankit Bhardwaj, Han-Ching Ou, Haipeng Chen, Shahin Jabbari, Milind Tambe, Rahul Panicker, Alpan Raval
- AI-assisted Accurate School Mapping in Developing Countries
  Zhuang-Fang Yi, Naroa Zurutuz, Ruben Mendoza, Dohyung Kim, Martha Morrissey, Drew Bollinger, Jeevan Farias
- COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data
  Parth Asawa, Manas Gaur, Kaushik Roy, Amit Sheth
- Measuring and Visualizing Social Distancing Using Deep Learning and 3D Computer Vision
  Bilal Abdulrahman, Zhigang Zhu
- Uncertainty Aware Wildfire Management
  Tina Diao, Samriddhi Singla, Ayan Mukhopadhyay, Ahmed Eldawy, Ross Shachter, Mykel Kochenderfer
- Artificial Intelligence and Resource Allocation in Healthcare: The Process-Outcome Divide in Perspectives on Moral Decision-Making
  Sonia Jawaid Shaikh
- Assessing Fairness in Classification Parity of Machine Learning Models in Healthcare
  Ming Yuan, Muhammad Ahmad, Vikas Kumar, Ankur Teredesai
- Towards Context-aware Knowledge Entailment from Health Conversations
  Saeedeh Shekarpour, Faisal Alshargi, Mohammadjafar Shekarpour
- Towards Explainable Question Answering (XQA)
  Saeedeh Shekarpour, Faisal Alshargi, Mohammadjafar Shekarpour
- Using AI to Identify Optimal Drilling Locations for Sustainable Irrigation for Subsistence Agriculture
  Wanru Li, Kathryn B. Laskey, Mekuanent Muluneh, Rupert Douglas-Bate, Hemant Purohit, Paul Houser
- Asymptotic Cross-Entropy Weighting and Guided-Loss in Supervised Hierarchical Setting using Deep Attention Network
  Charles Kantor, Brice Rauby, Léonard Boussioux, Emmanuel Jehanno, André-Philippe Drapeau Picard, Maxim Larrivée, Hugues Talbot
- Socioeconomic and Geographic Variations that Impacts the Spread of Malaria
  Thilanka Munasinghe, Aayush Maheshwarkar, Karan Bhanot
- A Two-Step Framework for Parkinson’s Disease Classification: Using Multiple One-Way ANOVA on Speech Features and Decision Trees
  Gaurang Prasad, Thilanka Munasinghe, Oshani Seneviratne
- Clean Water: How the AI Community Can Contribute to Accessing Water Sources in Developing Countries
  Karthik Dusi, Thilanka Munasingha
- Health Care Misinformation: an Artificial Intelligence Challenge for Low-resource languages
  Sarah Luger, Martina Anto-Ocrah, Tapo Allahsera, Christopher Homan, Marcos Zampieri, Michael Leventhal
- Exploring AI-Enabled Use Cases for Societal Security and Safety
  Hoang Long Nguyen, Minsung Hong, Rajendra Akerkar

2021-03-13: submitted by Hemant Purohit, Yasas Wijesuriya, metadata incl. bibliographic data published under Creative Commons CC0
2021-06-17: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|