Call for Papers:

Workshop on Persuasion and AI Disclosure: Building Trust in Synthetic Media
Held as part of the 20th International Conference on Persuasive Technology
Limassol, Cyprus
May 5, 2025
Workshop: https://aunmedia.org/AIDisclosure/
Persuasive 2005 conference: https://2025.persuasivetech.org

Deadline for submissions: March 1, 2025

This workshop is a full-day preconference event organized as part of the 20th International Conference on Persuasive Technology which will be hosted in Limassol, Cyprus, St. Raphael Resort and Marina, May 5-7 2025. The workshop date is May 5th, 2025.

Artificial intelligence has revolutionized persuasive communication through the emergence of synthetic media—hyper-realistic AI-generated content that challenges the boundaries of trust, authenticity, and ethics. These tools enable the creation of immersive and compelling messages with unprecedented reach and sophistication, but they also raise significant concerns about manipulation and misinformation. Central to addressing these challenges is the concept of AI disclosure, which involves explicitly identifying AI-generated content. Disclosure has the potential to reshape audience perceptions: it can normalize AI use and foster trust, yet it may also provoke skepticism or reduce engagement. This duality underscores the importance of context-specific approaches – whether in healthcare, education, marketing, or political communication – that align ethical transparency with the practical demands of persuasion.

This workshop will delve into the complex interplay between disclosure practices, audience trust, and domain-specific applications, bringing together experts from communication, psychology, ethics, computer science, and related fields to develop evidence-based frameworks that address both the opportunities and challenges posed by synthetic media.

KEY TOPICS include:

• Persuasive communication strategies in synthetic media
• Trust-building through AI transparency
• Cognitive effects of AI disclosure on audiences
• Ethical dilemmas in AI-generated content
• Legal and regulatory frameworks for AI disclosure
• AI in political communication and media influence
• Cultural and ideological factors in AI reception
• Comparative approaches to AI disclosure
• Future directions for AI in persuasive communication

WORKSHOP OBJECTIVES

1. Investigate Audience Perception: Analyze how the characteristics of AI disclosure shape cognitive processing, emotional responses, and trust in persuasive messages.

2. Discuss Contextual Variability: Examine the influence of user attitudes (e.g., political ideology, cultural values, and technology acceptance) on their engagement with disclosed AI content across domains.

3. Bridge Theory and Practice: Develop actionable theoretical and methodological tools for ethical AI disclosure that balance transparency with effective persuasion.

4. Explore Cross-Domain Applications: Identify best practices for implementing AI disclosure in diverse sectors, including healthcare, education, marketing, and political communication.

5. Foster Industry Collaboration: Create practical guidelines for integrating AI disclosure into the workflows of content creators, regulators, and developers, promoting trust and accountability.

SUBMISSION TYPES

We welcome submissions that engage with the concept of disclosure as a form of ethical AI practice, in broad domains and contexts. Submissions will be reviewed by the workshop program committee based on relevance, innovation, and alignment with the workshop’s objectives. Participants are also welcome to apply for participation in the workshop without presenting papers or organizing hands-on sessions.

To present your work or lead a hands-on session at the workshop please submit your proposal in one of the following formats:

• Research Papers (up to 6 pages) focusing on theoretical insights or empirical findings.
• Work-In-Progress Papers (up to 4 pages) showcasing emerging ideas or preliminary findings.
• Hands-On Session Proposals (up to 4 pages), designed for interactive, experiential learning activities.

All submissions should be formatted according to Springer LNCS format: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines

For participation as non-presenting participants please contact the organizers: Dr. Hila Lowenstein at hilalow@gmail.com or Dr. Nili Steinfeld at nilisteinfeld@gmail.com.

IMPORTANT DATES

Submission deadline: March 1, 2025 (AoE)
Decision notification: March 15, 2025
Camera ready: March 28, 2025
Workshop date: May 5th, 2025