Call for contributions
Artificial Intelligence (AI) is increasingly recognized as one of the most transformative technologies of the 21st century, reshaping the frontiers of innovation and offering novel avenues to address global challenges. Its impact extends across key sectors such as industry, healthcare, education, environment, and finance. AI serves as a powerful catalyst, capable of optimizing processes, fostering creativity, and providing sustainable solutions to the multifaceted challenges of our era.Nevertheless, this technological revolution entails substantial scientific, ethical, societal, and environmental challenges that require rigorous reflection and interdisciplinary engagement.
The conference Artificial Intelligence for Digital and Sustainable Transition (AIDIST’2026) is part of the fifth edition of the International Citizen Forum on Education and Interdisciplinary Research (FCIERI). It seeks to examine how AI can foster a profound and equitable transformation of contemporary societies, while critically addressing the challenges associated with its implementation.
The central question guiding the conference is as follows: How can AI serve as the driving force behind a digital and sustainable revolution, integrating innovation, scientific advancement, and ethical as well as environmental responsibility?
To answer this question, contributions to the conference will be organized around five interrelated tracks, each addressing a key dimension of AI’s impact on society.
● Track 1 : AI as a Catalyst for Ecological Resilience
● Track 2 : AI and Healthcare
● Track 3 : Citizenship and Ethics in the Era of AI
● Track 4 : AI in Industry and Services
● Track 5 : Theoretical and Methodological Aspects of AI
All original and innovative contributions—be they theoretical or practical—pertaining to these themes are encouraged.
The Scientific Committee of AIDIST’2026 also invites researchers and funded project teams to submit proposals for organizing and participating in thematic Special Sessions.
By convening experts, researchers, and practitioners from diverse disciplines, the AIDIST’2026 conference seeks to establish a forum for scholarly dialogue and critical reflection on innovative and responsible AI. This objective will be pursued through the presentation of recent research findings, technological advancements, and novel applications.
Main Tracks
This track investigates how AI technologies may foster ecological resilience and support the development of a more environmentally conscious society by optimizing natural resource utilization, minimizing the ecological footprint of human activities, and advancing sustainable economic paradigms..
Contributions under this theme will showcase tangible advancements in AI applications across domains such as renewable energy management, biodiversity conservation, greenhouse gas mitigation, and climate change adaptation.
This track targets AI researchers and practitioners, emphasizing scientific and technical contributions that address key challenges in sustainable development. Submissions may encompass intelligent resource management systems, real-time ecosystem monitoring frameworks, or educational tools designed to enhance ecological awareness.
- AI for the sustainable governance and optimization of natural resources
- AI in support of energy transition and ecological transformation
- AI for biodiversity conservation and ecosystem resilience
- AI for sustainable agriculture and responsible food systems
- AI-enabled smart and sustainable urban environments
- AI for climate change mitigation and adaptation
- AI for advancing the circular economy and fostering sustainable innovation
- AI for promoting environmental literacy and education
- Green AI: advancing sustainable and energy-efficient artificial intelligence
Artificial Intelligence is assuming an increasingly pivotal role in the healthcare sector—spanning patient care, medical resource management, and diagnostic procedures.
Leveraging machine learning algorithms and advanced AI models, it is now feasible to analyze large-scale biomedical datasets, enable early disease detection,and
personalize treatments based on genetic profiles, clinical indicators, and environmental variables—especially through connected health technologies.
AI further contributes to optimizing hospital workflows, automating anomaly detection in medical imaging, and assisting researchers in drug discovery. As a catalyst for the digital and sustainable transformation, AI fosters more accessible, efficient, and ethically grounded healthcare, providing innovative responses to the critical challenges confronting contemporary health systems.Nonetheless, these advancements raise significant concerns regarding ethics, data
privacy, and algorithmic transparency. This track of the AIDIST’2026 conference aims to examine the practical applications ofAI in healthcare, its potential and constraints, and to illuminate future directions in this rapidly evolving domain.
- AI for medical diagnosis and clinical decision-making
- AI in preventive, predictive, and personalized medicine
- AI in medical imaging
- AI for optimizing patient care pathways
- AI in drug discovery and development
- Chatbots, natural language processing, and health-related interfaces
- AI in healthcare: ethical, regulatory, and societal challenges
- AI in public health
- AI in biomedical research and bioinformatics
- AI and intelligent medical devices
Artificial Intelligence is significantly transforming social interactions, political structures, and ethical considerations within increasingly digitized societies. This track investigates how AI affects citizenship, interpersonal relations, and democratic institutions, while underscoring the scientific and technical challenges inherent in fostering its ethical and responsible development.
Contributions within this theme will examine how AI may act as a catalyst for informed citizenship and a more equitable society. These contributions will address pressing issues related to AI applications in domains such as digital democracy, misinformation mitigation, intelligent surveillance, and the safeguarding of individual liberties. A central focus of this thematic axis is Explainable AI (XAI), which seeks to enhance algorithmic transparency, fairness, and accountability. Scientific contributions will illustrate how AI methodologies—such as natural language processing (NLP), sentiment analysis, and behavioral modeling—can reinforce public trust, support legal compliance, and advance ethical decision-making.
Particular emphasis will be placed on generative AI, whose rapid proliferation constitutes a significant technological shift affecting multiple sectors of society, including education, research, employment, creativity, and environmental sustainability. The technical and ethical challenges are manifold, encompassing algorithmic bias, data privacy, and informational reliability. We welcome contributions that critically explore and advance the transparency, fairness, and accountability of AI systems. Submissions may include empirical case studies, innovative algorithmic models, or conceptual frameworks aimed at improving these dimensions across diverse domains such as social media platforms, electoral processes, and personal data governance.
- AI and Digital Humanities (Historical, Cultural, Social Data, etc.)
- Democracy and Political Processes in the Age of AI
- Intelligent Surveillance and the Protection of Civil Liberties
- Explainable AI (XAI) and Ethical Considerations
- AI and Social Media
- AI for Education and Academic Research
- AI Governance and Regulatory Frameworks
Artificial Intelligence is profoundly reshaping the manufacturing landscape across the entire product lifecycle—from design and production to logistics and maintenance—by accelerating operational excellence and enabling innovative solutions to complex industrial challenges. This thematic axis invites contributions on the strategic integration of AI in key sectors such as equipment design, predictive maintenance, supply chain optimization, transportation systems, incident forecasting, and banking automation. Advances in AI are redefining traditional economic and industrial paradigms, opening new avenues for businesses, financial institutions, and regulatory bodies. This axis also highlights emerging technologies including machine learning, the Internet of Things
(IoT), Cyber-Physical Systems (CPS), and blockchain, with a focus on their transformative potential, innovation capacity, and the ethical considerations they raise.
Cybersecurity remains a critical concern. The vulnerabilities inherent in novel AI models expose systems to cyberattacks that can compromise functionality and jeopardize user data. Ensuring robust, secure solutions—capable of real-time detection of threats and intrusions—is essential to building trust and successfully navigating the digital transition in industry and services.
- AI and Operational Excellence
- AI for Next-Generation Design and Engineering
- AI in Industrial Production and Manufacturing
- AI for Advanced Equipment Maintenance and Management
- AI in Transportation and Logistics
- AI in Finance and Banking
- AI and Blockchain in Finance
- Impact of AI on Customer Experience
- Ethics and Regulation of AI in Industry and Services
- AI in Public Services
- AI and Cybersecurity
- AI and the Internet of Things (IoT)
- AI and Cyber-Physical Systems (CPS)
Artificial Intelligence is grounded in foundational advances in mathematics, computer science, and cognitive science, which continue to shape its evolution and applications.This thematic axis invites contributions that explore theoretical developments, formal models, and innovative methodologies underlying AI systems, while critically assessing their practical implications and limitations. Submissions may address conceptual breakthroughs—such as novel learning paradigms, causal inference, and formal computational logics—as well as methodological challenges including robustness, generalization, and interpretability. Particular emphasis will be placed on interdisciplinary approaches, the formalization of algorithmic biases, and rigorous evaluation frameworks for AI systems. This theme encourages seminal contributions, epistemological inquiries, and integrative frameworks, while remaining open to technical innovations (e.g., large language models, optimization techniques, multimodal processing), provided they are accompanied by substantial theoretical reflection.
- Machine Learning Theory
- AI for Optimization
- Knowledge Representation and Processing
- AI and Reasoning
- Explainable AI (XAI) and Interpretability
- Multimodal Processing (NLP, Vision, Audio)
- Foundations of LLMs and Generative Models
- Complex Data Processing
- AI Agentics
- AI and Big Data
- AI and Computer Security
- AI and Software Engineering
- AI Across Application Domains
Le Forum mondial sur l’éducation, tenu en mai 2015 à Incheon sous l’égide de l’UNESCO et ses partenaires, s’est conclu par la Déclaration d’Incheon pour l’Éducation 2030, un engagement historique de transformer la vie grâce à une nouvelle vision de l’éducation et à des actions courageuses et innovantes pour la réaliser. Le Cadre d’action Éducation 2030, qui établit cette nouvelle vision de l’éducation pour les 15 années à venir, a été adopté par plus de 180 états membres de l’UNESCO. Quatre ans plus tard, à la 9e Réunion mondiale de la Consultation collective des ONG pour Éducation 2030 (CCONG-Éducation 2030), qui s’est tenue en Tunisie en 2019, les organisations participantes ont affirmé que le monde est confronté à une crise éducative, causée par un manque de volonté politique, une faible priorisation de l’éducation et un financement insuffisant. De plus, elles ont constaté une tendance croissante à la commercialisation de l’éducation, ce qui contribue à creuser davantage les inégalités. Les systèmes éducatifs mondiaux ne semblaient pas respecter l’engagement pris dans le programme Éducation 2030. Le ministre de l’Éducation de la Tunisie d’alors avait, à la même occasion, souligné que la plupart des pays n’avancent pas suffisamment pour atteindre les objectifs fixés pour 2030. Il a appelé à une reconnaissance de l’importance stratégique de l’éducation pour toutes les nations et a encouragé la société civile à jouer un rôle majeur dans la mobilisation pour y parvenir.