Humanitarian Relief and Development:

Detecting and predicting how a crisis or conflict could develop, analyzing the impact of catastrophes in a cyber-physical society, and assisting in disaster response as well as resource allocation are of utmost importance, and the advances in AI can be utilized in many such tasks. This track will focus on all aspects of humanitarian relief operations supported by the novel use of AI ranging from enabling missing persons to be located, leveraging crowdsourced data to provide early warning for rapid response to emergencies, increasing situational awareness, to logistics and supply chain management.

Responsible
AI in Healthcare:

Healthcare data, in general, is characterized by several data problems such as missing data, lack of standardization, incompleteness, etc. which hinders the deployment of solutions which are relevant to real-world use cases. Moreover, many AI solutions in healthcare have the "last mile problem" to deliver a practical solution. These have broader implications in the context of fairness, explainability, and transparency. This track will focus on a broad range of AI healthcare applications and challenges encountered including but not limited to: automation bias, prescriptive AI models, explainability, privacy and security, transparency, decision rights, and so on, especially in the context of deployment of AI in healthcare.

Papers (2-6 pages) of the following flavors are sought:

1. Research ideas
2. Case studies (or deployed projects)
3. Review papers
4. Best practice papers
5. Lessons learned

Please submit your papers through the AAAI EasyChair site (choose 'AI for Social Good' track). The format is the standard double-column AAAI Proceedings Style. All submissions will be peer-reviewed. Some will be selected for spotlight talks, and some for the poster session.