Computing for the Common Good
We design, study, critique, and strategize policy of sociotechnical systems to promote equity, accountability, cultural alignment, and justice in computing—particularly for communities underserved by technology.
Our Mission
The DePaul RAISE Lab advances research, public knowledge, and innovation on the social and ethical responsibilities of computing and human-centered technologies.
Guiding Research Question
How can we equitably design and evaluate human-centered AI/ML systems, particularly natural language technologies, to ensure they are fair, culturally competent, and reflective of the values and needs of all people—especially disproportionately affected users, while addressing the technical, ethical, and societal challenges inherent in AI/ML technologies?
Through participatory research methods, interdisciplinary collaboration, and commitment to public interest innovation, we aim to ensure that computing systems serve the common good of humanity and the environment.
Led by Jay L. Cunningham, Ph.D. - A nationally recognized expert in community-centered responsible AI research and justice-oriented technology design.
Harm Measurement
Community-informed frameworks for evaluating AI systems
Data Economy
Responsible practices for AI ventures and data governance
Global Equity
Addressing AI inequities in Global South communities
Human-Centered Design
Design approaches for intelligent systems in human contexts
Research Pillars
Socio-technical Harm Measurement
Developing community-informed frameworks for measuring AI harm that center affected communities' experiences and expertise, with particular focus on natural language technologies and culturally competent evaluation processes.
Responsible Data Economy
Creating ethical frameworks for data practices in AI ventures that ensure fairness and cultural competence, with community ownership and benefit from data used in AI systems, especially for disproportionately affected users.
Global South AI Equity
Addressing AI inequities affecting Global South communities through hyperlocal language technologies and international research partnerships.
Human-Centered AI & Technology Design
Investigating design methodologies, interaction paradigms, and implementation strategies for intelligent systems that are meaningfully integrated into human experiences and environmental contexts, prioritizing user agency and contextual appropriateness.
Community-Centered Impact
Our research is grounded in authentic partnerships with communities underserved by technology. We don't just study communities—we learn from them, partner with them, and ensure they lead in defining what responsible AI means.
Join the Movement
Whether you're a researcher, student, community organization, or industry partner, there's a place for you in advancing responsible AI that serves the common good.