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Hawaii International Conference on System Sciences (HICSS-57)
January 3-6, 2024, Hawaiian Village, Waikiki, Hawaii, USA
https://hicss.hawaii.edu
Submission Deadline (June 15, 2023)
Mini-track: Responsible Innovation in Collaborative, Connected,
and
Intelligent Systems
Track: Collaboration Systems and Technologies
The proliferation of collaborative and connected systems,
including digital
tools and platforms that facilitate collaboration, information
sharing, and
communication among multiple users, has dramatically transformed
how we
interact, work, and live. Integrating Artificial Intelligence (AI)
and
other intelligent technologies have brought about new levels of
automation
and intelligence, resulting in the emergence of AI-enabled
collaborative
and connected systems. This integration has opened new
possibilities for
human-machine collaboration, yet it has also raised important
ethical,
legal, and societal concerns, which necessitate the responsible
design,
development, and use of these systems.
The primary objective of this minitrack is to provide a forum for
scholars
and practitioners to present their research and engage in
discussions on
the responsible design, development, implementation, management,
and use of
AI-enabled collaborative and connected systems. The minitrack aims
to
address the current knowledge gaps and challenges posed by
integrating AI
and other intelligent technologies in collaborative and connected
systems,
particularly in the context of human-machine collaboration.
The scope of this minitrack encompasses, but is not limited to,
the
following areas of inquiry:
Assessment of the social, ethical, and societal impacts of
AI-enabled
collaborative and connected systems
Privacy and security considerations in the design and
development of
AI-enabled collaborative and connected systems
Human-centered design principles for the development of
AI-enabled
collaborative and connected systems
The impact of AI on human-machine collaboration and its
implications for
work and employment
Explainability and transparency in AI-enabled collaborative and
connected
systems
The role of responsible governance in the use and regulation of
AI-enabled collaborative and connected systems
Responsible AI and machine learning in the development of
AI-enabled
collaborative and connected systems
Addressing bias and fairness in AI-enabled collaborative and
connected
systems
Cross-cultural considerations in the design and deployment of
AI-enabled
collaborative and connected systems
The potential impact of AI-enabled collaborative and connected
systems on
the future of work and innovation
The role of AI-enabled collaborative and connected systems in
promoting
social good and sustainability in a digital age
Ethical and legal considerations in responsible innovation in
AI-enabled
collaborative and connected systems
Best practices in responsible innovation in human-machine
collaboration
Approaches to measuring and evaluating the effectiveness of
responsible
innovation in AI-enabled collaborative and connected systems.
The minitrack on Responsible Innovation in Collaborative,
Connected, and
Intelligent Systems provides a scholarly venue for researchers and
practitioners to present their work and engage in discussions on
the
responsible design, development, implementation, management, and
use of
AI-enabled collaborative and connected systems. The focus on
human-machine
collaboration highlights the importance of considering the effects
of AI
and other intelligent technologies on work, employment, and
society and
addressing the challenges and opportunities posed by these
systems. This
minitrack will serve as a platform for exchanging ideas, exploring
challenges, and promoting interdisciplinary research and
development in
this critical area. We welcome submissions of high-quality
research papers
that address the current knowledge gaps and provide insights into
the
responsible design, development, implementation, management, and
use of
AI-enabled collaborative and connected systems.
Best papers accepted to this mini-track will be fast-tracked to
Internet
Research, an international and refereed journal that is indexed
and
abstracted in major databases (e.g., SSCI, SCI, ABI/INFORM
Global).
**Minitrack Co-Chairs**
Bo Sophia Xiao, University of Hawaii at Manoa,
boxiao@hawaii.edu
Chee-Wee Tan, Copenhagen Business School,
cta.itm@cbs.dk
Kaveh Abhari, San Diego State University, Email:
kabhari@sdsu.edu
**Important Dates**
April 15, 2023: Manuscript submissions begin
June 15, 2023: Submissions are due at 11:59 pm HST
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Best regards,
Bo Sophia Xiao
Professor
Shidler College Distinguished Professor (Endowed)
Information Technology Management Department
Shidler College of Business
University of Hawaii at Manoa
Tel.: (808) 956-7368
Email:
boxiao@hawaii.edu
Website:
http://shidler.hawaii.edu/itm/directory/bo-sophia-xiao
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