Human AI 2021

Association for the Advancement of Artificial Intelligence (AAAI) Fall 2021 Symposium on Human Partnership with Medical Artificial Intelligence (HUMAN.AI). Virtual Event, November 4–6, 2021

Symposium Program 

You can see the 2021 Symposium Program here.

Call for Participation

This symposium touches upon two crucial themes of Clinical AI research: (1) trust in autonomous medical advisory systems and (2) challenges for Clinical AI adoption (design, deployment, evaluation, and sustainability of Clinical AI). 
Symposium Format:
This symposium will include keynote speakers, position paper presentations and discussion, break-out sessions and interactive expert panel conversation.


Topics of interest (may include, but are not limited to): 

  • Trust metrics for medical AI systems
  • Trust in hardware, software, and computing as components in an autonomous medical advisory system 
  • Trust and Explainable medical AI
  • Trust and Human-Machine/Human-Computer Collaboration
  • Individual and team medical AI support for remote and austere environment
  • Robustness and reliability in medical AI
  • Psychology, cognition, and human factors in relation to trust in  Medical AI interaction and teaming 
  • Design research to inform Clinical AI
  • Empirical studies examining clinician and patient perceptions and risk-beliefs of Clinical AI
  • Metrics for and measures of Clinical AI uptake, utility, and impact on users
  • Implementation Science strategies to inform and assessClinical AI practice integration
  • Medicolegal and ethical requirements and moral and professional responsibilities in an era of Clinical AI
  • Differences and synergies in how AI, HCI, and healthcare research communities approach clinical AI
  • Potential strategies to better bridge these communities


Participants will be invited to prepare extended versions of their position papers for a follow-up special topics issue through the Frontiers in Computer Science and Frontiers in Psychology journals.


Submission Requirements:

This symposium will be of interest to academia, industry, government, and the broader healthcare community. Participants are invited to submit 2 - 6 page articles which can be framed as speculative position papers, research outcomes, case studies, survey papers, or best practice/guidelines papers.  Papers will be submitted to the AAAI Fall 2021 Symposia EasyChair site, selecting the appropriate track and theme.


Important Dates

  • August 13, 2021 Extended to August 30, 2021 (23:59 AoE): Submissions due to organizers
  • September 10, 2021 (23:59 AoE): Notifications of acceptance sent by organizers
  • November 4–6, 2021: AAAI-HUMAN.AI Symposium

The AAAI publishes the general symposia dates here.

Information for Authors

Please see the AAAI Author Kit to ensure that your submission has the proper formatting.

EasyChair submission:

The Symposium Committee will make available AV equipment for registered participants that wish to participate remotely (e.g., for visa or health reasons).


Click here to register.


Symposium Co-Chairs:

Dr. Thomas E. Doyle, Associate Professor

Department of Electrical and Computer Engineering

McMaster University, Hamilton, Ontario, Canada

Faculty Affiliate, Vector Institute

Dr. Aisling Kelliher, Associate Professor

Department of Computer Science

Virginia Tech, Blacksburg, Virginia, USA


Organizing Committee:

Dr. Reza Samavi, Assistant Professor

Department of Electrical and Computer Engineering

Ryerson University, Toronto, Ontario, Canada

Faculty Affiliate, Vector Institute


Dr. Steven Yule, Professor and Chair of Behavioural Sciences

Clinical Surgery, University of Edinburgh, UK


Dr. Michael Noseworthy, Professor

Department of Electrical and Computer Engineering

McMaster University, Hamilton, Ontario, Canada

Dr. Barbara Barry, Assistant Professor

Mayo Clinic Division of Health Care Delivery Research

Scottsdale, Arizona, USA


Dr. Sarah Parker, Associate Professor and Chair

Health Innovation and Implementation Science

Virginia Tech, Blacksburg, Virginia, USA


Dr. Qian Yang, Assistant Professor

Bowers College of Computing and Information Science

Cornell University, Ithaca, New York, USA