Fall 2025 CARTA Virtual AI Discussion Series

In response to survey feedback from CARTA faculty across the disciplines, we are hosting an engaging series of Zoom discussions this academic year focused on AI. Each session will feature a brief 10–15 minute presentation on a specific topic, followed by a cross-disciplinary conversation exploring the new realities of AI in higher education and beyond.

By sharing knowledge and experiences, we aim to build practical tools, cautions, techniques, and recommendations to guide how we collaborate with AI in support of student success and in advancing research and creative work.

Enhancing Critical Thinking with AI
with brief presentation by Elizabeth Marsh, School of Communication, and Jessica Kizorek, Lee Caplin School of Journalism & Media

September 19, 2025 | 12:00 PM
Learn how generative AI can serve not just as a tool for output, but as a partner in inquiry and reflection. This session introduces strategies for using prompt structure—along with analytical and iterative tasks—to help students question assumptions, test ideas, and build deeper insight in creative disciplines.
Zoom link: https://fiu.zoom.us/j/85705441591

Visual Arts Methodologies in AI with brief presentation by Ariel Baron-Robbins and Jonathan Perez, Department of Art + Art History

October 31, 2025 | 12:00 PM

Explore how generative AI might extend, challenge, or transform both longstanding and emerging artistic practices. Dialogue and shared examples will highlight how AI can foster curiosity, encourage risk-taking, and open new modes of visual inquiry in studio practice and arts-based research.
Zoom link: https://fiu.zoom.us/j/89751801427

AI Ethics Across Creative Fields with brief presentation by John Stuart, School of Architecture, and Aileen Izquierdo, School of Communication

November 21, 2025 | 12:00 PM

Understand the ethical dimensions of AI as they relate to art, design, communication, journalism, music, theater, and architecture. Discussion will examine responsible creation, authorship, transparency, and bias in algorithmically mediated creative work.