Call for Papers

Human societies are constantly evolving, repeatedly transforming their organizational systems, value frameworks, and modes of governance. The development of artificial intelligence (AI) is integral to these ongoing changes, introducing unique challenges and opportunities at the crossroads of ethics, societal choices, and collective identities.

This conference is dedicated to exploring the interplay between rapid technological innovation, evolving value systems, and governance challenges—particularly in the context of accelerating change that questions established processes of democratic deliberation. Special emphasis is placed on understanding both the continuities and disruptions that distinguish current transitions from those of the past (Castoriadis, 1975; Ricoeur, 1984).

We welcome proposals that combine historical, empirical, and theoretical approaches, and consider AI as more than a technological advancement—as a force shaping social and symbolic realities. In line with investigations into the “conditions of possibility” of societal transitions (Kant, 1781), contributions from a wide spectrum of disciplines—including anthropology, law, economics, management, computer science, philosophy, political science, education, information and communication sciences, and sociology—are encouraged. The aim is to better understand the conditions that make AI-driven transformations possible, desirable, or problematic, and to analyze their impacts, limitations, and underlying power issues.

Authors are invited to submit original papers examining how AI transforms individuals, organizations, and social structures. We encourage analysis of narratives and values associated with these transformations, from both historical and contemporary perspectives. Papers based on case studies, practical feedback, or original experiments from professional, institutional, or association settings are welcome, provided they combine theoretical analysis with field-based insights on AI-driven transitions.

Submissions may address, but are not limited to, one of the following four thematic axes:

Axis 1: Governance, standards, and regulation of AI

Explore the legal, economic, political, and ethical frameworks shaping the emergence and evolution of AI at national, European, and global levels. Suggested topics include:

• The application and effects of AI legislation
• Algorithmic governance models
• Technical and ethical challenges: alignment, bias, censorship
• Transparency and explainability in AI systems
• Shared digital resources and digital commons
• Evolving economic models and regulations
• Fundamental rights protection, liability, and algorithmic justice
• Incorporating ethics into public policy

Axis 2: Transformations of work and organizations in the age of AI

Discuss empirical or conceptual changes in professions, skills, practices, and organizational management due to AI. Relevant areas include:

• Restructuring of activities and new professional roles
• AI-focused initial and continuing education
• Institutional adaptation: HR policies, social dialogue
• Impacts on work quality and professional relations
• Effects on intellectual property
• Sector-specific analyses (health, finance, education, industry, etc.)

Axis 3: AI, environmental transitions, and sustainability

Investigate the intersections between AI, ecological transitions, and sustainable societal models. Areas of focus might include:

• AI’s role in ecological and energy transition
• Assessing the environmental impact of digital technology
• Digital tools supporting environmental policymaking
• Balancing innovation and resource frugality
• Public acceptance of AI-powered “green” technologies

Axis 4: Social representations, imaginaries, and cultures of AI

Examine the influence of AI on collective imaginations, representations, values, and the societal role of technology, including:

• Media, artistic, and literary depictions of AI
• Citizen perceptions and public debate
• Effects on collective identities, values, and decision-making
• Inclusion, diversity, and social resistance
• Democratic challenges of AI adoption

Presentation guidelines

• Oral presentations: 20 minutes, in person.
• Posters: presented during a dedicated session.
• Presentations accepted in either English or French.
• Submit all proposals (oral and poster) via: https://transia.sciencesconf.org/
• Use the required template: FR_ANG_Modèles_resume.docx.
• All proposals will be double-blind reviewed by a scientific committee of national and international experts.

Registration and practical Information

The call for papers is open to researchers, faculty members, doctoral candidates, teachers, and professionals. Registration is free of charge (excluding meals) for teachers, faculty, and students (registration is required).

A fee of €200 (VAT included, excluding meals) applies to professionals.

Please note that travel and accommodation expenses are the responsibility of participants.

Timeline

• December 1, 2025: Abstract submission deadline
• January 30, 2026: Notification of acceptance
• March 1, 2026: Full paper submission deadline
• March 5, 2026: End of mandatory registration

Submission format

Each abstract (in Word format) must include:

• Title of the presentation
• Authors’ names, affiliations, and country
• An abstract (max. 3,000 characters, excluding references) outlining the research topic and its AI context
• A “problem/method/results/discussion” structure, where applicable (except for legal/theoretical papers)
• Five keywords
• Indication of the relevant thematic axis

Authors of accepted proposals will later submit their full papers, using the provided template.

Publication opportunities

Following the conference, two publication avenues are planned for selected oral and poster contributions, ensuring broad international and interdisciplinary dissemination. All selected papers will undergo peer review.

Contact : transia@sciencesconf.org