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EVENT Apr 16
ABSTRACT Nov 14
Abstract days left 5
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Confronting the Ethics of Artificial Intelligence (Interdisciplinary Conference)

Scranton, PA, USA
Organization: University of Scranton
Event: Interdisciplinary Conference
Categories: Graduate Conference, Interdisciplinary, Pedagogy, Popular Culture, Aesthetics, Anthropology/Sociology, Classical Studies, Cultural Studies, Environmental Studies, Film, TV, & Media, Food Studies, History, Philosophy, Science, Miscellaneous
Event Date: 2026-04-16 to 2026-04-18 Abstract Due: 2025-11-14

The University of Scranton, a Catholic and Jesuit University with a strong liberal arts tradition, invites scholars, practitioners, students, and professionals to participate in a National Interdisciplinary Conference on Confronting the Ethics of Artificial Intelligence, scheduled for April 16, 17, and 18, 2026.

Artificial Intelligence (AI) is reshaping every dimension of our lives. It has clear impacts on social, economic, educational, scientific, artistic, and ecological spheres. The potential for AI is immense, but its adoption and use raise critical ethical questions. Ranging from algorithmic bias, ambient surveillance, labor displacement, the future of education, and its impact on human creativity and fulfillment. As it stands, the AI landscape demands discernment and ethical reflection.

This conference seeks to bring together diverse voices to explore, critique, and reimagine AI through the lens of ethics, understood broadly to include philosophical, religious, cultural, legal, medical, environmental, artistic, and social perspectives.

Conference Themes

We invite submissions that engage with the ethics of artificial intelligence in both specific and general applications. Topics may include, but are not limited to:

Arts & Humanities: AI in creativity, authorship, performance, and cultural identity.
Business: Automation, labor ethics, and corporate responsibility.
Education: AI in teaching, learning, and research integrity; utilizing AI for student success initiatives and learning accommodations; ethical applications and questions related to AI in scholarly activity; AI in K-12 education.
Environmental Impact: AI and sustainability, climate modeling, and AI resource consumption.
Healthcare & Medicine: Projection models for patient disease development; treatment individuation; individualized medicine; bias in treatment.
Law & Policy: Privacy and data usage; the legitimacy of AI in governance.  
Library & Information Science: AI and the new digital divide; algorithimic bias; AI accuracy, mis- and dis-information.
Philosophy: AI as moral agents; AI’s effect on human autonomy and decision making; human-AI interfaces and the locus of moral responsibility.
Science: AI fabrication of scientific data or references; legitimacy of sources for AI training; drug discovery; intellectual property of data from AI discoveries.
Theology: AI in moral theology and bioethics; AI applications in Catholic healthcare; theological responses to AI development, including those offered in light of Antiqua et nova (2025).
Social Justice & Equity: Accessibility, bias, and discrimination in AI systems.
Social Sciences: AI as a research tool for data analysis and methodology; AI systems as social entities and their behavioral impacts; algorithmic bias in social research; AI's effects on human social structures and interactions.
Conference Format

We envision the final program to include:

Keynote Lecture by a leading voice in AI and ethics.
Plenary Panels featuring interdisciplinary perspectives.
Paper Presentations (20-minute talks with 10 minutes of Q&A) organized by theme.
Roundtables and Workshops on emerging ethical challenges.
Seven-minute Lightning Talks for students and early-stage projects.
Posters showcasing research, case studies, and practical applications.
Submission Guidelines

We welcome proposals for individual papers, panels, workshops, posters, or creative presentations. Submissions should include:

Proposed Title
Abstract (250-300 words) clearly outlining the project and its ethical dimension(s).
Disciplinary Alignment or Keywords (up to 5 keywords) that help to categorize your proposal.
Format Preference (paper, panel, interactive discussion/workshop, or 7-minute lightning talk).
Short Bio (100-300 words) for each presenter, including institutional affiliation.
All submissions will undergo blind peer review by the interdisciplinary planning committee.

Please submit the above information to AI-Ethics@Scranton.edu.

Important Dates

Call for Abstracts Opens: September 2025
Submission Deadline: November 14, 2025
Notification of Acceptance: December 5, 2025
Registration Opens: December 8, 2025
Early Bird Registration Ends: January 30, 2026
Final Program Announced: February 2026
Refunds: Full refunds available until March 13, 2026; no refunds after
Conference Dates: April 16, 17, 18, 2026

https://www.scranton.edu/academics/wml/ai/index.shtml

AI-Ethics@Scranton.edu

George Aulisio