Call for Participation
Ethical AI for Learning: Global Collaboration for Better Students
Organizers
Elizabeth Rosenzweig
Brandeis University, USA
erosenzweig@brandeis.edu
Marcela Borge
The Pennsylvania State University, USA
mbs15@psu.edu
Brian K Smith
Boston College, USA
b.smith@bc.edu
Aim of the Workshop
This workshop aims to critically examine the intersection of ethical artificial intelligence and personalized learning through a global and interdisciplinary lens. As AI-driven educational technologies become increasingly integrated into teaching, learning, and assessment, the workshop seeks to interrogate their ethical, cultural, and social implications. It will bring together scholars, educational technologists, and policymakers to exchange insights and engage in constructive dialogue on ensuring equitable, transparent, and accountable uses of AI in personalized learning environments.
Expected Workshop outcome
Participants will engage with theoretical frameworks that shape ethical AI design, analyze empirical case studies illustrating best practices and challenges, and collaboratively develop guiding principles for responsible innovation. The workshop will emphasize cross-cultural perspectives on data governance, algorithmic bias, and learner autonomy, fostering a deeper understanding of ethical practices across diverse educational systems. The discussions and collaborations are expected to produce both scholarly insight and actionable frameworks that support the creation of AI systems advancing fairness, inclusivity, and meaningful learning outcomes worldwide.
Workshop topics
- Defining ethical and personalized AI learning
- Fairness, transparency, and accountability in AI systems for personalized learning
- Designing AI-driven educational technologies that respect privacy and inclusivity
- Empowering teachers, parents, and communities as ethical partners
- Global collaboration for equitable AI education
- Building local action plans for responsible innovation
Workshop agenda
Workshop event: 13:30 pm – 17:30 pm, Monday, 27 July 2026
The following is a framework for the program of the Workshop:
|
Time |
Program event |
|
Part 1 |
Framing the Vision: What Is Ethical, Personalized AI Learning? |
|
Part 2 |
Designing Ethical Personalization |
|
Part 3 |
Parents, Teachers, and Communities as Ethical Partners |
|
Part 4 |
Global Exchange and Action Planning |
Guidelines to prospective authors
Submission for the Workshop
Prospective authors should submit their proposals in PDF format through the HCII Conference Management System (CMS).
Prospective participants are invited to submit original proposals that address one or more of the workshop themes listed above. Submissions should demonstrate theoretical, empirical, or design-based contributions related to the ethical dimensions of artificial intelligence in personalized learning. Multidisciplinary and international collaborations are particularly encouraged.
Length: Submissions should be between 2–4 pages, including references, tables, and figures.
Structure: Each submission should include:
- Title of the contribution
- Author(s) and institutional affiliation(s)
- Abstract (150–200 words)
- Description of the research, design, or case study focus
- Relevance to the workshop themes and expected contribution to the discussion
Submission for the Conference Proceedings
The contributions to be presented in the context of Workshops will not be automatically included in the Conference proceedings.
However, after consultation with the Workshop organizer(s), authors of accepted Workshop proposals who are registered for the Conference are welcome to submit, through the Conference Management System (CMS), an extended version of their Workshop contribution to be considered, following further peer review, for presentation at the Conference and inclusion in the “Late Breaking” volumes of the Conference proceedings, either in the LNCS as a long paper (typically 12 pages, but no less than 10 and no more than 20 pages), or in the CCIS as a short paper/extended poster abstract (typically 6 pages, but no less than 4 and no more than 11).
Workshop organizers are also encouraged to consider and explore the (additional) possibility of preparing a paper (short or long) which will present the collaborative efforts of their Workshop participants, and can be submitted in October 2026 to be considered for publication in the context of the HCII 2027 Conference Proceedings.
Workshop deadlines
|
Submission of Workshop contributions |
February 23, 2026 |
|
Authors notified of decisions on acceptance |
March 30, 2026 |
|
Finalization of Workshop organization and registration of participants |
June 1, 2026 |
Workshop organizers
Elizabeth Rosenzweig
Elizabeth Rosenzweig is a UX design researcher, author, and educator renowned for her work in user experience strategy. She authored Successful User Experience: Strategies and Roadmaps in 2015, publishing the second edition in October, 2025, offering practical frameworks for UX integration, and co-edited Usability for the World: Toward Inclusive and Usable Computing Technologies Worldwide, promoting global accessibility in design. She founded Bubble Mountain Consulting in 2005, consulted for Fortune 500s after Kodak and MIT roles, holds four UI patents, earned the 2009 Usability Professionals Lifetime Achievement Award, and directs World Usability Day. Holding an MS from MIT's Media Lab, she teaches primarily at Brandeis University.
https://scholarworks.brandeis.edu/esploro/profile/elizabeth_rosenzweig/overview
https://scholar.google.com/citations?user=9GDcO0cAAAAJ&hl=en
https://worldusabilityday.org/
Marcela Borge
Marcela Borge is an associate professor of Learning, Design, and Technology at The Pennsylvania State University. Her program of research focuses on understanding the ways that technology can help or hinder collective sense-making, socioemotional development, and learner empowerment. She currently serves as the program co-chair for the Conference on Learning and Collaboration Technologies through HCII, is on the Board of Directors for the International Society of the Learning Sciences, and serves on various editorial boards, including the International Journal of Computer-Supported Collaborative Learning and The Journal of the Learning Sciences.
https://scholar.google.com/citations?user=n2ykUVEAAAAJ&hl=en
Curriculum Vitae
Brian K Smith
Brian K. Smith is the Honorable David S. Nelson Professor and Associate Dean for Research at Boston College’s Lynch School of Education and Human Development. His research interests include the design of computer-based learning environments, human-computer interaction, design sciences, out-of-school learning, and computer science education.
https://www.researchgate.net/profile/Brian-Smith-55?ev=hdr_xprf
Registration regulation
Workshops will run as 'hybrid' events. Organizers are themselves expected to attend ‘on-site’, while participants will have the option to attend either 'on-site' or 'on-line'. The total number of participants per Workshop cannot be less than 8 or exceed 25.
Workshops are ‘closed’ events, i.e. only authors of accepted submissions for a Workshop will be able to register to attend the specific Workshop.
Workshop registration is complimentary for registered Conference participants or requires a fee of $95 per Workshop for non-registered Conference participants.