About

The Human-Centered Responsible AI (HCR-AI) Special Interest Group (SIG) plays a vital role in promoting the ethical development and deployment of AI technologies in education. By drawing on the principles from the REACT workshop, this group addresses critical challenges in AI, including fairness, transparency, and equity. Their mission is to foster discussions and collaborative research on responsible AI practices, ensuring that AI serves the best interests of both learners and society. Through diverse perspectives and interdisciplinary efforts, the group aims to establish ethical AI usage standards and guidelines that align with regulatory requirements and human-centered values in educational settings. This approach is key to ensuring that AI technologies not only enhance educational outcomes but do so in a way that is ethically sound, equitable, and transparent.

SIG Chairs

Olga Viberg

KTH Royal Institute of Technology, Sweden

Olga Viberg is associate professor in Media Technology with specialization in Technology-Enhanced Learning at the School of Electrical Engineering and Computer Science at KTH. Viberg’s research includes a focus on the learning analytics and AI in higher education, self-regulated learning, digital assessment, cross-cultural research and responsible use of student data and technologies in education, focusing […]

Srecko Joksimovic

University of South Australia

Yael Feldman Maggor

KTH Royal Institute of Technology

Oscar Deho

University of South Australia

Inge Molenaar

Radboud University, The Netherlands

Inge Molenaar is associated professor Educational Sciences at the Behavioural Science Institute at Radboud University in the Netherlands. She has over 20 years of experience in the field of technology enhanced learning taking multiple roles from entrepreneur to academic. Her research in the Adaptive Learning Lab focusses on technology empowered innovation to optimize students’ learning. […]

Detailed objectives

  • Promote research on ethical, fair, equitable and transparent AI practices in education.
  • Develop a framework for integrating human-centered values in AI systems.
  • Facilitate discussions on AI’s impact on equity and inclusivity.
  • Provide guidelines for responsible AI development aligned with established and emerging regulations (e.g., GDPR, EU AI Act).
  • Encourage collaborations between researchers, educators, policymakers, and AI developers.

Planned activities

  • Host workshops, seminars, and webinars on ethical AI implementation.
  • Develop and disseminate best practices for human-centered AI.
  • Publish white papers and guidelines addressing key ethical AI challenges.
  • Create a collaborative network for sharing resources, research findings, and policy updates.
  • Engage with regulatory bodies to inform AI policy development.

Members of the steering committee

  • Dr Robert MacAuslan, Vice President: Artificial Intelligence, Southern New Hampshire University
  • Prof George Siemens, Chief Scientist, Matter & Space
  • Dr Shawn Powers, Interim Director of AI Policy, Southern New Hampshire University
  • Dr Stanley Greenstein, Associate Prof. in Law & information Technology, Stockholm University