Find one-time or archival versions of texts published through GLP on this page. Please also visit our Pressbooks site for additional titles, including faculty-authored textbooks and more.
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Proceedings of the 2nd Annual Value and Responsibility in AI Technologies Conference, 23-24 April 2026
Kazu Betzler, Azer Bitanga, Taylor Black, Chase Bollig, Anny Case, Fr. Tim Clancy SJ, Narcisa Codreanu, Sherri Lynn Conklin, Fr. Evaristus Ekwueme SJ, Anthony Fisher, Matt Hoag, Mark Graves, Sean Kassen, Justin Marquis, Fr. Brendan McGuire, Jessica McHugh, Agnieszka McPeak, Samantha Noll, Aidan O'Brien, Cyrus Olsen III, Isabella Realmuto, Dave Resisenauer, Kellen Sorauf, Brett Spooner, Daniel Tigard, Isabel Tiles, Casey Wilhelm, Kaelyn Wellman, Aaron Wolf, Jay Yang, and Grace Yee
The second annual Value & Responsibility in AI Technologies conference brings together scholars, educators, faith leaders, students, industry partners, and policymakers to examine how AI technologies can be designed, implemented, and governed in ways that reflect shared values and contribute to the common good. Building on the first year, this second iteration expands the conversation across academia, education, industry, and public institutions.
Organized around three themes—Meaning and Identity, Learning and Education, and Work and the Workforce—the conference explores how increasingly capable AI technologies are reshaping how we understand ourselves, how we teach and learn, and how we prepare for and participate in professional life. Through interdisciplinary dialogue, participants consider responsible approaches to AI that uphold equity, fairness, social justice, human dignity, human flourishing, and care for the planet.
See recordings of presentations at the conference's repository homepage.
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Information Flow in Biological Systems
David Boose, Mary Ann Clark, Matthew Douglass, and Jung Choi
Information Flow in Biological Systems is a derivative of Biology 2e, adapted and organized to align with the Gonzaga University biology curriculum. The text focuses on information flow in biological systems, providing students with foundational concepts and examples that support the learning objectives of the course. Drawing on material from Biology 2e, this resource offers a focused approach to understanding how biological information is stored, transmitted, expressed, and used across different levels of biological organization.
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Proceedings of the Value and Responsibility in AI Technologies Conference, 3-4 April 2025
Brian Green, Ameeta Agrawal, Aaron Brown, Colin Marshall, Alexis Elder, Ted McCullough, Debraj Basu, Chase Bollig, Anny Case, John Correia, Charles Lassiter, Rachel S. Robertson, Onur Bakiner, Agnieszka McPeak, and Levi Checketts
This conference brings together scholars and thinkers from academia and industry to examine and discuss these ethical issues and to work towards solutions on how to design value-laden AI and digital technologies and ensure that they are developed responsibly. Through a diverse range of issues, participants at the conference will dive deep into the ethical aspects of AI technologies, sharing results and proposing solutions to address the ethical problems that such technologies can pose, while recognizing that these technologies have immense power to shape our lives and society for the better. In this way, AI technologies can help us to serve the common good and uphold principles of democracy, equity, fairness, social justice, human dignity, and care for the planet.
See recordings of presentations at the conference's repository homepage.