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Resources & Training Overview
Our Resources & Training repository equips faculty and staff with practical tools and policies for AI integration—from usage guidelines and approved tool lists to academic integrity and IT policies. Find structured support on using AI responsibly, whether you’re drafting a syllabus, advising students, or developing a new research method.
AI in Teaching badge
This is an exciting professional development credential that explores AI in pedagogy. It encompasses outcomes from the AAC&U’s AI, Pedagogy & The Curriculum work—such as incorporating AI literacy into the curriculum, deploying AI metrics in supervision, and recognizing emerging workplace AI competencies. This badge empowers educators to lead with confidence in the evolving AI-supported classroom.
Center for Diagrammatic & Computational Philosophy
The Center spearheads education and research at the intersection of philosophy, computation, and diagrammatic reasoning. By uniting scholars in philosophy, mathematics, and computer science, the Center applies diagrammatic and computational approaches to real-world challenges—ranging from AI development and decision-making systems to economic modeling and bioinformatics.
AI News & Events
This page brings you up to speed on 91’s AI-related events and initiatives. Explore our upcoming Ethics & Aesthetics of A.I. lecture series featuring thought leaders who will examine how AI intersects with art, politics, and society. You’ll also find highlights on campus roles like the AI Innovation Specialist, cutting-edge tools like the Quinncia career platform, and academic enhancements supported by a responsible use of AI.

AI-Related Committees

  • AI in Teaching Committee

    Gathers information about emerging AI tools and their educational uses. Helps the campus stay up-to-date on new developments in AI and recommends revisions to the academic policy, academic integrity, and curriculum committees.

    Chair (appointed): Anna Linnehan

    Appointed Members: Tom Kushner, James Faulkner, Brendan Hall, KC Choo, Maureen Gilman, Anna Linnehan, Bridget Cunio, Boyun Woo

    Elected Members (3 faculty): Ashlie Perry Banerjee, Sang-Kyu Lee, David DiSarro

    Reports To: Sara Quay

  • AI Internship and Career Mission

    Collects and shares insights on how employers are using AI in hiring, while preparing students to navigate this evolving landscape. Examines the importance of AI knowledge across industries and identifies the specific skills and tools employers value for entry-level roles. By informing schools of emerging trends and equipping students with practical strategies, the committee helps students craft stronger applications, succeed in AI-informed interviews, and build the competencies needed for internship and career success.

    Chair (appointed): Jaime Freedman

    Appointed Members: Kate Chroust, Jaime Freedman, Helen Eaton, Cher Harrington, Kate Luchini, Cheri Lynch, James Faulkner, Kristy Walker

David Cox’s publications:
David Cox, Associate Director of Research at the Institute for Applied Behavioral Science, has published widely on AI and machine learning.
“Ethical Behavior Analysis in the Age of Artificial Intelligence (AI): The Importance of Understanding Model Building while Formal AI Literacy Curricula are Developed”
“Predicting the Next Response: Demonstrating the Utility of Integrating Artificial Intelligence-Based Reinforcement Learning with Behavior Science”
“A Data‐Driven, Algorithmic Approach to Recommending Hours of ABA for Individuals With ASD”
David Cox
Listen In
"The Behavioral Data Science" podcast
See below for the Institute for Applied Behavioral Science Associate Director David Cox's trifecta of publications on AI and machine learning.