AAAI 2021 Spring Symposium

Applied AI in Healthcare: Safety, Community, and the Environment

Virtually at Stanford University in Palo Alto, California

The Spring 2020 Symposium will discuss ways to solve health-related, real-world issues in various emerging, ongoing, and underrepresented areas. Our international team is primarily focused on AI-assisted healthcare, with specific focus on areas of improving safety, the community, and the environment through the latest technological advances in our respective fields. We also want to improve the design and deployment of new technologies by considering the broader contexts in which they will be used. Our group’s mission is to bring engineers, computer and data scientists, physician specialists, epidemiologists, public health researchers, ergonomists, ethicists, social scientists, designers, safety personnel, and other scholars and healthcare professionals together to share and foster ideas.


This symposium focuses on three themes related to potentially challenging issues in Healthcare AI.

Workplace Safety and the Environment

Workplace Safety and the Environment: Currently, there is a significant knowledge gap in the workplace AI arena, and we are interested in filling it through widespread collaboration regionally and nationally through contacts in Silicon Valley and academic centers, including Stanford, UCSF, UC Berkeley, and Google. Two of our current focus areas of interest revolve around the role of machine learning in optimizing workplace ergonomics and monitoring environmental hazards, including automating wildfire smoke/air quality predictions via proprietary Google database sets and other global satellite systems.

Sub-topics of interest, but not restricted to: Ergonomics AI, Wildfire smoke AI, AI in healthcare, Travel AI healthcare, Machine Learning, Robotics, Human-robot interaction, Human-computer Interaction, Enterprise AI, Neural Networks, Deep Learning, Knowledge Representation and Reasoning, Rule-based Systems, Knowledge Engineering and Management, Data Science, Ontologies and Semantic Web


Caregiving in the Community

The introduction of digital technology and artificial intelligence in the work of care and care-giving, along with the broad adoption of network infrastructures and the increasing attention to community-based care, has now created an opportunity to address issues relating to the provision and organization of care in novel ways. Such technologies make it possible to bring different forms of care back into homes and communities for longer periods of time through health monitoring applications, assistive robotics, telehealth platforms, automated transportation, and other innovations.

Sub-topics of interest, but not restricted to: Caregiving, AI, Robotics, Human Factors, Human-robot Interaction, Human-computer Interaction, Technology Design, Social Network Analysis, Social Work, Health Informatics, Aging, Disabilities, Clinical Practice, Nursing


Specialized Applications of AI in Healthcare

This topic aims to share latest progress, current challenges ,and potential applications related use of AI in health care and will welcome contributions on a broad set of sub-topics. Submissions under this topic may focus on specific and technical details or bring a more general point of view on the use of AI in health care and improvement of public and population health.

Sub-topics of interest, but not restricted to: Data infrastructures in health, AI in primary health care, AI in public and population health, human and patient-centered AI in health care, machine learning/deep learning/reinforcement learning applied in healthcare, image recognition in health care, knowledge base AI in health care, explainable AI (XAI) in health care, social and ethical consideration of AI in health care (e.g. trustworthiness, interpretability), measuring progress of AI in health care and AI tools for non-AI clinicians.


The symposium will include invited talks, presentations of accepted papers, group work sessions and panels. Use cases, current and potential application scenarios, and requirements from industry would be encouraged. Invited speakers and presentations will be announced after the submissions.


Interested participants should submit either full papers (6-8 pages) or short papers (2-4 pages). Submissions are invited from all perspectives of interest—see “Topics” section. Submissions can include recent or ongoing research, position papers, and surveys/reviews.  Apply here:


  • Abstracts/Papers due: December 31, 2021
  • Author Notification: Rolling basis
  • Registration deadline: December 15, 2021
  • Symposium: March 22–24, 2021, held Virtually due to COVID

Symposium Chairs

Sponsored by the Association for the Advancement of Artificial Intelligence In cooperation with the Stanford University Computer Science Department and chaired by: