Center for Ethical AI

The Center for Ethical Artificial Intelligence (CEAI) is the University of Denver’s interdisciplinary hub for integrating, coordinating, and advancing ethical AI across campus. By bringing together the diverse talent, expertise, and creativity of DU’s faculty, staff, students, and administrators, CEAI supports teaching, research, and engagement that prepare our community to lead in an AI-driven world.

If you have any questions, would like more info, or want to get involved, we would love to hear from you at ethicalAI@du.edu. 

Email the Center for Ethical AI

two people working on a robot

What Is Ethical AI?

For CEAI, ethical AI means designing, deploying, and governing generative AI systems that are transparent, equitable, sustainable, and aligned with the public good. 

CEAI Areas of Involvement

two students working together

Community Engagement and Impact

CEAI leads community engagement and dialogue around the societal impact of AI, including policy, governance, and ethics, to better serve our communities, environment, and broader stakeholders.

View Events
a person helping another person wear some devices at human dynamic lab

Research and Collaboration

CEAI facilitates cutting-edge research and interdisciplinary collaboration that examine the opportunities, challenges, and real-world implications of AI—from machine learning and large language models to robotics, predictive analytics, and emerging technologies.

View CEAI Projects
two women presenting to a group

Teaching and Learning

CEAI supports AI-aligned teaching and curricular innovation, equipping DU’s undergraduate and graduate students with the knowledge, critical-thinking skills, technical expertise, and ethical foundation needed to pursue meaningful careers in an AI-driven world.

students at career fair

Career and Professional Development

CEAI fosters career and professional development opportunities for DU students, faculty, and staff, ensuring graduates are prepared to learn, adapt, and lead in a rapidly evolving technological landscape.

  • Student Development Event Hosted by the DU AI Club: Summit Hack

    April 4-5, 2026

    Sponsored by the Center, and hosted by the student AI Club,  was a 24-hour sustainability-focused hackathon hosted by AI Club, Algorithms Club, SASE & Cybersecurity Club at DU

  • Student Development Event Hosted by the DU AI Club: “How Real AI Systems Are Built: Workflow vs. Agents"

    January 14, 2026

    Sponsored by the Center, and hosted by the student AI Club. In this talk, Xavier Zuvekas shared how AI systems are actually built and used in real organizations—where reliability, efficiency, and outcomes matter. Xavier brings experience building and deploying machine learning systems across industries, working at the intersection of engineering and real-world operations. His focus is simple: building AI that removes friction and delivers measurable value. You'll learn: How real AI systems are structured in practice; What to build first when turning an idea into a working system; When a workflow is enough, and when using an AI agent actually makes sense; Common mistakes that cause AI projects to stall or fail.

  • AI in Industry Series at the Daniels College of Business (Faculty Professional Development)

    Andrew Arthurs, President & COO | Actabl
    April 2026

    Andrew traced AI adoption at three levels: individual employee use (from LLMs to more advanced tools like Claude Code), company-wide adoption of AI-embedded commercial tools like Gong and Zendesk, and AI built directly into Actabl's hospitality products across 19,000 hotels. He also addressed the governance model his team built to scale rapid AI implementation responsibly.

  • AI in Industry Series at the Daniels College of Business (Faculty Professional Development)

    Phillip Crippen, Customer Engineer & Architect | Google
    May 2026

    Phillip Crippen traced AI’s evolution from conversational tools to agentic systems and described what AI adoption looks like across telecom, finance, healthcare, and retail.

  • AI in Industry Series at the Daniels College of Business (Faculty Professional Development)

    Neil Yuan, Audit Partner — KPMG
    November 2025

    Neil shared how KPMG has made AI adoption firm-wide and expected—embedded in workflows, integrated into daily tools, and now factored into performance reviews. His key message: using AI well is increasingly a baseline professional competency, not a differentiator. KPMG has notably built a diverse suite of custom AI agents based on several different Large Language Models. 

  • AI in Industry Series at the Daniels College of Business (Faculty Professional Development)

    Shawn Riley & Scott Petree — Plante Moran
    February 2026

    Shawn Riley (Financial Advisory) covered practical AI use in client work—research, document summaries, meeting notes, and communication coaching—while grounding it in what AI can’t replace. Scott (Cybersecurity) addressed governance: risk frameworks, compliance, and what responsible AI adoption looks like from a security standpoint. 

  • AI in Industry Series at the Daniels College of Business (Faculty Professional Development)

    April Gorelik, Chief Operating Officer and former VP of Human Resources — TAS Environmental Services
    March 2025

    April offered a grounded HR perspective on building an AI use policy from scratch, integrating AI into building out compensation bands, and educating her workforce as tools continue to evolve. 

technology

Artificial Intelligence Curriculum at DU

Discover AI courses and curriculum at DU that prepare students to navigate and shape a changing world.

Explore Artificial Intelligence at DU

Contact

 

Center for Ethical AI