Computing for the Common Good

DePaul RAISE Lab

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.

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Harm Measurement

Community-informed frameworks for evaluating AI systems

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Data Economy

Responsible practices for AI ventures and data governance

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Global Equity

Addressing AI inequities in Global South communities

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Human-Centered Design

Design approaches for intelligent systems in human contexts

Research Pillars

1

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.

Natural Language Technologies Community Evaluation Cultural Competence Bias Detection
2

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.

Data Governance Community Ownership Financial Inclusion AI Ventures
3

Global South AI Equity

Addressing AI inequities affecting Global South communities through hyperlocal language technologies and international research partnerships.

Language Preservation International Collaboration Cultural Alignment Policy Influence
4

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.

Interaction Design User Experience Design Methods Contextual Computing

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.

15+ Community Partners
5 Countries Engaged
100% Community Benefit Focus
3 Policy Influences
"The Community Advisory Board model has transformed how we approach technology research. For the first time, our community's voice isn't just heard—it's leading the conversation."
— Community Advisory Board Member

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.