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Important Dates
Paper Deadline: February 27, 2023 (AOE)
Final notification of acceptance: March 3, 2023
Workshop Date: Sunday, April 23, 2023
About the Workshop
AI systems and related algorithms are starting to play a variety of roles in the digital ecosystems of children – being embedded in the connected toys, smart home IoT technologies, apps, and services they interact with on a daily basis. Going forward, AI systems will, in all likelihood, become even more pervasive in children’s applications simply due to their sheer usefulness in creating compelling, adaptive, and personal user experiences. Yet, understanding the ways that AI-driven systems used by children operate, and how AI could be designed to better anticipate and respond to children’s diverse requirements is still a new and emerging area of investigation.
Our goals of this workshop are to (1) extend the current critically constructive dialogue around the meaning of child-centred AI design and (2) explore ways to operationalise such child-centred AI design in practice, and finally (3) further expand and foster a community for those who are interested in designing and developing child-centred AI systems. In line with this overall goal, we are interested in a wide range of topics, including but not limited to:
- What are the issues and concerns around the lack of child-centred AI design?
- What are the challenges in building child-centred AI and strategies to address such issues?
- What are the methodology and lessons learned to build child-centred AI, including ethical considerations?
- What should be the guiding principles (e.g, age-appropriate design, humane by design) for child-centred AI design?
- How can existing principles, such as age-appropriate design, humane by design, fairness and more be translated into the design of AI systems used by children?
- What are the practical measures and safeguards that can be taken to ensure children are treated in a child-centred manner (e.g., respectfully, fairly) in their interaction with AI-driven technologies?
- What are the implications of child-centred AI around children’s everyday lives (e.g., privacy, safety, digital literacy), and what are the broader societal, policy, and educational implications for building child-centred AI?
- What are the roles and responsibilities in child-centred AI research?
Call for Participation
This hybrid workshop aims to provide a space for discussing topics involving but not limited to: the issues (e.g. concerns and challenges), the methodology (and lessons learnt), the design principles, the practical measures and safeguards, the implications (e.g., around children’s everyday lives, and the broader societal, policy, educational implications), and the roles and responsibilities to consider for future child-centred AI design.
Or just anything on children and AI! ;)
To apply, please select one of the options for submission:
(your submission doesn’t have to be anonymised)
- a short abstract (up to 500 words),
- audio or video file (up to 5 minutes),
- an opinion piece of an example or a case relating to child-centred AI. (up to 800 words).
- A short (research, opinion, position) paper, formatted according to the ACM Master Article Submission Template (single column) and comprise up to 3 pages (excl. references).
Submit via easychair, or directly email us at helloccai2023@gmail.com with the subject line “CHI 2023 Workshop”.
What you’ll get from the workshop
- A fun experience with lots of design activities and talks from distinguished speakers.
- We plan to invite strong submissions from the workshop to expand and submit to a special issue in a selected journal (IJHCS, details to be confirmed).
- We will also invite participants who are interested to write up synthesis papers that could be published at ACM Interactions or Communications of the ACM.
Child-Centred AI Design: Definition, Operation, and Considerations
ACM CHI 2023 Workshop
Organizers
GE WANG
University of Oxford
Ge Wang is the main contact person for the workshop. She is a PhD student at the University of Oxford, Department of Computer Science. Her research focuses on Child-Computer/AI interaction, and investigates the algorithmic impact on families and children.
KAIWEN SUN
University of Michigan
Kaiwen Sun is a PhD student at the University of Michigan, School of Information. Her research focuses on understanding and supporting children’s privacy and safety needs in the context of smart home technologies through designing and developing child-centered features and controls.
Ayça Atabey
University of Edinburgh
Ayça Atabey is a PhD student at Edinburgh University and is an affiliate at the Centre for Data, Culture & Society of the Edinburgh Futures Institute. She conducts research in data protection, human rights and consumer laws, and focuses on vulnerability, fairness, and AI from a gender and age perspective.
Kruakae Pothong
LSE/5Rights
Kruakae Pothong is a researcher at 5Rights and visiting research fellow in the Department of Media and Communications at London School of Economics and Political Science. Her current research focuses on child-centred design of digital services. Her broader research interests span the areas of human-computer interaction, digital ethics, data protection, Internet and other related policies.
Grace C Lin
MIT
Grace C Lin is a learning scientist and assessment designer at MIT with over 10 years of experience in research projects focusing on building students’ capacity to learn. Her past and present projects include a practitioner-oriented early childhood measures repository, ed tech games and apps, and project-based learning curricula in math and AI that incorporate playful assessments.
Jun Zhao
University of Oxford
Jun Zhao is a senior research fellow at the University of Oxford, Department of Computer Science. Her research focuses on investigating the impact of algorithm-based decision makings upon our everyday life, especially for families and young children. For this, she takes a human-centric approach, focusing on understanding real users’ needs, to design technologies that can make a real impact.
Jason C Yip
University of Washington
Jason C Yip is an Associate Professor at the Information School and an adjunct assistant professor in the Department of Human-Centered Design and Engineering at the University of Washington. His research examines how to build innovative technologies for new collaborations and how current technological trends already influence family collaborations around learning.
Get in Touch
If you have any questions concerning the workshop
(or whatever topic you think we have satisfying answers on),
look no further.
We got your back.
ccai2023.org 