Welcome

Mark Emmons

Dean, College of University Libraries & Learning Sciences

Barbara Rodriguez

Provost & Executive Vice President of Academic Affairs

Can we build trustworthy AI at scale?

Trustworthiness is a central challenge for AI. While some AI capabilities in coding, math, science, and engineering improve as data, neural network size, and energy grow ever larger, alignment with societal good does not magically emerge with larger scale. This talk will explain AI scaling trends and contrast domains where AI has made enormous advances with domains where LLM inaccuracies, biases, misaligned incentives, and disregard for truth pose significant risks. The talk will highlight how New Mexico can sustainability power AI and democratize whose interests AI serves and what problems AI solves. We will discuss whether it is possible to build AI that is both trusted and trustworthy.

Melanie E. Moses

Distinguished Professor of Computer Sciences

Table Topic Discussions

No AI expertise is required. Bring your experience, hopes, concerns, skepticism, and questions. During lunch, participants will join one of the following conversations and connect with perspectives from across UNM.
Questions we will explore:

• Teaching and learning: How can we use AI without allowing it to replace the thinking, practice, and relationships through which learning happens?
• Evidence of learning: What should count as credible evidence of student learning in an AI-enabled environment?
• Access and equity: Who stands to benefit from AI, and who may be left out or disproportionately burdened?
• Research and creativity: Where can AI advance research and creative work – and where might it compromise integrity, authorship, or trust?
• Sustainability: How should AI’s energy, water, hardware, and environmental costs influence our choices?
• Privacy and security: What information should never be entered into an AI system?
• Human judgment: Which decisions are too consequential to delegate to AI?
• Careers and hiring: How is AI changing career preparation, job searching, applicant screening, and the skills employers expect?
• Work at UNM: Where could AI improve service or reduce repetitive work, and where could efficiency conflict with fairness or job quality?
• Our next steps: What should UNM do now to support responsible innovation while protecting people, communities, and institutional values?

What to expect:

Short rounds of café-style conversation, opportunity to choose a topic, space for disagreement and listening, and a final “harvest” of patterns and practical next steps.
Come ready with: one experience that shapes your view of AI; one question you hope UNM will address; and one action that could help our community move forward responsibly.

Student Panel Discussion

How has AI affected the student experience at UNM? This panel of graduate and undergraduate students will discuss their own challenges and opportunities of AI in the classroom, as well as the positive and negative impacts it could have in the future.

Stephanie Moore (Moderator)

Associate Professor of Organization, Information & Learning Sciences

Manuel Cisneros (Moderator)

ASUNM Senator & School of Engineering student

Hinde Sahmoud

JD student, School of Law

Jocelyn Dailey

Ph.D. student, Electrical & Computer Engineering

Nathaniel Steen

Undergraduate student, College of Arts & Sciences

Jonah Bearden

Undergraduate student, Ellis School of Business Leadership

AI Futures Exercise

The future of AI at UNM is not predetermined. What role do you want to play in shaping that future? In this futures exercise, participants will temporarily set aside immediate concerns to imagine a range of possible futures for teaching, scholarship, and university life. Across disciplines and roles, we will explore our values, what we hope to create, what we want to avoid, and how our choices today might move us toward more desirable futures.

Vanessa Svihla

Professor of Organization, Information & Learning Sciences / Chemical & Biological Engineering

Closing Announcements

Defining the Future of AI at UNM

Provide feedback to guide the institutional values, ethics and principles for Artificial Intelligence.
In this interactive room, you can learn more about the AI Steering Committee’s proposed strategic framework. Here, You can voice opinions and ideas about how UNM can ensure that AI will advance UNM’s mission of promoting discovery, supporting communities, and advancing intellectual and cultural celebrations.