-------- Forwarded Message --------
Call for Papers
Human-Centered Artificial Intelligence (HCAI) Workshop
in the context of HCII 2022 (to be held virtually)
‘The 6 Grand Challenges for HCAI: A deep dive’
Monday, 27 June 2022
IMPORTANT DATES
● Submissions due: 15 February 2022
● Acceptance Notification: 15 April 2022
● Camera-ready manuscripts (full or short papers) due: 15 May 2022
● (Virtual) Workshop event: 27 June 2022
Building upon the success of the previous (HCII 2021 – HCAI)
Workshop and the tremendous interest that has been generated
recently around a broad spectrum of issues concerning
Human-Centered Artificial Intelligence, the HCAI Working Group
will hold a follow up workshop at the HCI International 2022
conference (HCII 2022) to be held virtually.
WORKSHOP OBJECTIVE
Rapid advancements in Artificial Intelligence (AI) are enabling
technological applications with far-reaching implications.
Consequently, there is increasing importance in taking an informed
approach in the design of these AI systems, tools and agents so as
to maximize their utility and value to humanity, while minimizing
their risk and overcoming the human users' reluctance towards
them.
Currently in its second year of existence, the Human-Centered
Artificial Intelligence (HCAI) Working Group will bring together a
diverse, interdisciplinary group of prominent scholars and
industry leaders and facilitate a thought-provoking exploration
and discussion of contemporary issues related to AI, placing human
users at the core. Given the diverse goals of this workshop, a
non-exhaustive list of potential topics includes:
● Human well-being and AI
○ Wellness, Health, Democratization, Access and Participation,
Literacy
● Human-AI interaction
○ Metaphors, Collaboration, Collusion, Human-Robot Teams, User
Empowerment
● Privacy and security
○ Resources, Infrastructure, Guidelines
● Responsible AI
○ Explainability, Fairness, Ethics, Accountability, Liability
● Governance/Independent Oversight
○ Auditing, Accountability, Infrastructure of Trust, AI
Compliance, Data ownership
● Comprehensive HCAI Design, Implementation, and Evaluation
Framework
○ Application of UXD methods to AI/ML systems. Metrics to measure
HCAI implementation success
SUBMISSION, REVIEW AND ACCEPTANCE PROCESS
The Workshop will feature completed research and
research-in-progress submissions accepted for presentation,
following a rigorous peer review process. Workshop contributors
are required to submit either a full manuscript or an extended
800-word abstract through the HCII 2022 Conference Management
System (CMS)
<https://cms.hci.international/2022/>. All
submissions should be accompanied by a short author bio (a small
paragraph).
Accepted full papers (10-20 pages long) will be included in the
HCII 2022 “Late Breaking Work - Papers" Springer LNCS volumes of
the conference
proceedings
<https://2022.hci.international/proceedings.html>.
Accepted short research papers (4-8 pages long) will be included
in the HCII2022 "Late Breaking Work - Posters" Springer CCIS
volumes of the conference
proceedings
<https://2022.hci.international/proceedings.html>.
Guidelines for the preparation of camera-ready contributions will
become available through the conference website in due course.
Authors, who do not wish to have their paper published in the
conference proceedings, but opt to pursue an alternative
publication channel, should clearly indicate so by adding a note
at the top of their submitted proposal.
Accepted contributions will be presented at the Workshop on
Monday, June 27, 2022, and presenters are required to register for
the
conference
<https://2022.hci.international/registration.html>.
WORKSHOP CO-CHAIRS
Salvatore Andolina, University of Palermo
(
salvatore.andolina@unipa.it<mailto:salvatore.andolina@unipa.it>)
Constantinos K. Coursaris, HEC Montréal
(
constantinos.coursaris@hec.ca<mailto:constantinos.coursaris@hec.ca>)
Christina Strobel, Hamburg University of Technology
(
christina.strobel@tuhh.de<mailto:christina.strobel@tuhh.de>)
Jia Zhou, Chongqing University
(
jiazhou@cqu.edu.cn<mailto:jiazhou@cqu.edu.cn>)
Cordially / Cordialement,
Constantinos
Dr. Constantinos K. Coursaris
Ph.D. Business Administration (Information Systems)
M.B.A. e-Business, B. Eng. Aerospace
Associate Professor - Department of Information Technologies
Academic Director - M.Sc. User Experience
Co-Director - Tech3Lab
Principal Collaborator - NSERC-Prompt Industrial Research Chair in
User Experience (UX)
HEC Montréal
Past Chair, SIG Human-Computer Interaction
Assistant VP, Research Resources
Association for Information Systems
Google Scholar:
https://bit.ly/coursarisGS
ResearchGate:
https://bit.ly/coursarisRG
Academia:
https://bit.ly/coursarisAC
Office #307 - Tech3Lab
3000, chemin de la Côte‑Sainte‑Catherine
Montréal (Québec) Canada H3T 2A7
Tel. 514-340-6902
https://tech3lab.hec.ca
http://www.Coursaris.com
http://www.twitter.com/DrCoursaris
http://www.linkedin.com/in/Coursaris
"The roots of education are bitter, but the fruit is sweet" -
Aristotle
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