-------- Forwarded Message -------- Subject: [AISWorld] HICSS-57 CFP: Responsible Innovation in Collaborative, Connected, and Intelligent Systems Date: Wed, 17 May 2023 23:27:40 -1000 From: Bo Xiao boxiao@hawaii.edu To: aisworld@lists.aisnet.org CC: Kaveh Abhari kabhari@sdsu.edu
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
--- 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 _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org