JRASE
Journal of Responsible AI and Social Equity
Journal of Responsible AI and Social Equity
The Journal of Responsible AI and Social Equity (JRASE) is a peer-reviewed, open-access academic journal published by FAIREEH Press, the publishing arm of the Foundation for AI Rights and Equity of Education and Healthcare (FAIREEH). JRASE publishes original research, reviews, and policy analyses at the intersection of artificial intelligence, ethics, and social equity. The journal welcomes contributions from scholars, practitioners, and policymakers across disciplines including computer science, education, public health, law, and the social sciences.
Mission and Vision: JRASE is dedicated to advancing scholarship on the responsible development and deployment of AI systems, with particular attention to their impact on underserved and marginalized communities worldwide. Topics of interest include algorithmic fairness and bias, AI governance and policy, equitable access to AI-driven services in education and healthcare, participatory design and inclusive AI, and the ethical dimensions of AI in conflict and post-conflict societies.
Publisher: FAIREEH Press
Frequency: Annual
Access: Open Access
Language: English
Website: press.faireeh.org/jrase
Current Issue: Volumn 1, Issue 1
Past Issues: Not Available
Submission Guidelines: All submissions undergo single-blind peer review. Authors are encouraged to consult the Call for Papers for the current issue before submitting.
Editor-in-Chief: Sung Wook Baik, Sejong University, South Korea
Associate Editor:
Chulhwan Lee, Orcle, USA
Myungho Lee, Myungji University, South Korea
Ran Baik, Honam University, South Korea
Deokhwan Kim, Inwha University, South Korea
The Journal of Responsible AI and Social Equity (JRASE) aims to advance policy-oriented, experience-driven, and interdisciplinary scholarship on how artificial intelligence can be governed, designed, and deployed to promote equitable access to education, healthcare, and essential public goods.
The journal emphasizes the importance of aligning AI systems with societal values by ensuring that the benefits generated from data-driven technologies are fairly distributed—particularly to the individuals and communities who contribute to the creation of data.
JRASE seeks to foster global dialogue and actionable insights on building sustainable, inclusive, and cooperative AI ecosystems that prioritize human dignity, social equity, and collective well-being.
AI Policy, Governance, and Public Resource Allocation: AI governance frameworks and national strategies, Public spending trade-offs (e.g., defense vs. education and healthcare), Policy design for equitable AI deployment, AI in public-sector decision-making, Societal implications of geopolitical and economic shifts
Education Equity and AI-Driven Online Learning: AI-powered online education and global access, Impact of digital learning platforms on inequality, Policy and infrastructure for remote and lifelong learning, AI tutoring systems and educational agents, Cross-border and virtual education systems
Healthcare, Public Health, and Accessibility: AI-enabled healthcare delivery and telemedicine, Public health policy and AI integration, Reducing disparities in healthcare access, Data-driven health equity and inclusion
Expert Reviews, Policy Perspectives, and Field Experience: Practitioner insights and long-term field experience, Comparative policy analyses across countries, Lessons from real-world AI deployments, NGO-driven initiatives and case documentation, Retrospective evaluations of large-scale programs
AI for Social Good and Nonprofit Ecosystems: Role of nonprofit organizations in advancing AI equity, AI-enabled services in underserved communities, Scalable models for social impact, Public–private–nonprofit collaboration frameworks
Global Collaboration and Knowledge Networks: Cross-border AI research and cooperation, Global knowledge-sharing platforms, Distributed and decentralized AI ecosystems, International partnerships across academia, industry, and NGOs
Data Inequality, Representation, and Inclusion: Global disparities in data availability and quality, Inclusive and representative dataset design, Ethical data collection and governance, Addressing underrepresentation in AI systems
AI in Conflict, Crisis, and Resource-Constrained Contexts: Impact of geopolitical conflicts on public welfare, AI in humanitarian response and crisis management, Resource allocation challenges during instability, Technology’s role in mitigating or amplifying inequality
Trust, Ethics, and Human-Centered AI: Trust in AI systems across cultures and contexts, Ethical implications of AI deployment, Human-AI collaboration and decision-making
Data Value, Contributor Equity, and Sustainable AI Ecosystems (New Core Section): Fair distribution of value generated from data-driven AI systems, Recognition and compensation mechanisms for data contributors, Policy frameworks for equitable data ownership and benefit sharing, Design of sustainable AI ecosystems that return value to communities, Incentive structures beyond monetary exchange, including cooperative and community-based models
Gift Economy and Cooperative Value-Sharing Models in AI: Gift economy principles in data and AI ecosystems, Non-monetary value exchange mechanisms in digital systems, Community-driven contribution and reciprocity models, Policy and governance for cooperative AI ecosystems, Designing AI systems that enable mutual benefit, trust, and long-term societal synergy
JRASE is a policy-oriented, globally focused journal dedicated to advancing responsible AI systems that not only minimize harm but actively redistribute value—ensuring that the benefits of AI extend to those who contribute to its foundations, and fostering cooperative, inclusive, and sustainable ecosystems through both institutional frameworks and emerging paradigms such as the gift economy.