AIFSCONF · Paris · 26–28 March 2027

Themes & Topics — International Conference on Artificial Intelligence and the Future of Society

The conference offers broad, international and interdisciplinary coverage of artificial intelligence: its foundations, applications, governance, human impacts and societal futures. Research is organised in 20 themes. The topics listed under each theme are indicative, not exhaustive.

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AI Foundations and Intelligent Systems

  • Machine Learning
  • Computer Vision
  • Deep Learning and Neural Networks
  • Reinforcement Learning
  • Knowledge Representation and Reasoning
  • Probabilistic and Causal AI
  • Expert and Knowledge-Based Systems
  • Fuzzy and Evolutionary Computing
  • Search, Planning and Optimization
  • Hybrid AI Systems
  • Natural Language Processing
  • Data Mining and Knowledge Discovery

Generative AI and Foundation Models

  • Foundation Models
  • AI Reasoning
  • Large Language Models
  • Model Adaptation and Fine-Tuning
  • Generative AI
  • Synthetic Data
  • Multimodal AI
  • Generative AI Evaluation
  • Retrieval-Augmented Generation
  • Hallucination and Factuality
  • Knowledge-Grounded AI
  • Open and Closed AI Models

AI Agents and Autonomous Systems

  • AI Agents
  • Agent Reliability and Evaluation
  • Agentic AI
  • Agent-Mediated Collaboration
  • Multi-Agent Systems
  • Embodied AI
  • Tool-Using AI
  • Social Robotics
  • Autonomous Decision-Making
  • Human-Robot Collaboration
  • Human Oversight of AI Agents
  • Autonomous Mobility

Human-AI Interaction and Collaboration

  • Human-Centered AI
  • AI-Assisted Decision-Making
  • Human-AI Collaboration
  • Conversational AI
  • Collaborative Intelligence
  • AI Assistants and Companions
  • Human Factors in AI
  • Participatory AI Design
  • Trust and Reliance on AI
  • Accessible AI
  • Automation Bias
  • AI and Human Agency

AI Ethics and Human Values

  • Responsible AI
  • Value Alignment
  • AI Ethics
  • Value-Sensitive Design
  • Fairness and Non-Discrimination
  • Moral Responsibility
  • Algorithmic Bias
  • AI and Human Dignity
  • Transparency and Explainability
  • Machine Agency
  • Human Autonomy
  • Cultural Perspectives on AI

AI Governance, Law and Policy

  • AI Governance
  • AI Impact Assessment
  • AI Regulation
  • AI Liability
  • International AI Governance
  • Algorithmic Recourse and Redress
  • AI Standards and Assurance
  • Intellectual Property and AI
  • Algorithmic Accountability
  • Competition and Market Power
  • AI Auditing
  • Public Participation in AI Governance

AI Safety, Security and Reliability

  • AI Safety
  • AI Assurance and Testing
  • AI Reliability
  • Human Control and Oversight
  • AI Risk Management
  • AI Misuse and Dual-Use Risks
  • Robust and Secure AI
  • AI and Cybersecurity
  • Adversarial AI
  • Post-Deployment Monitoring
  • AI Red Teaming
  • AI Incident Analysis

Data, Privacy and Digital Rights

  • Data Governance
  • Digital Rights
  • Data Quality and Provenance
  • AI Surveillance
  • Privacy-Preserving AI
  • Biometrics and Identity Systems
  • Federated Learning
  • Community Data Governance
  • Data Protection
  • Indigenous Data Sovereignty
  • Data Ownership and Access
  • Responsible Data Sharing

AI, Work and the Economy

  • AI and the Future of Work
  • Platform and Gig Work
  • Automation and Job Transformation
  • AI Data Labor
  • Human-AI Workplaces
  • Productivity and AI
  • Skills and Reskilling
  • AI and Income Distribution
  • Algorithmic Management
  • AI and Economic Inequality
  • Worker Surveillance
  • AI and Labor Rights

AI in Business, Industry and Finance

  • AI Strategy and Management
  • AI in Financial Services
  • Organizational AI Adoption
  • AI in Insurance
  • AI and Entrepreneurship
  • AI in Marketing
  • Intelligent Manufacturing
  • Consumer AI
  • Industrial Automation
  • AI and Business Transformation
  • AI in Supply Chains
  • Responsible Enterprise AI

AI in Education and Learning

  • AI in Education
  • Learning Analytics
  • Intelligent Tutoring Systems
  • AI Literacy
  • Adaptive Learning
  • Academic Integrity
  • Generative AI in Education
  • Teacher-AI Collaboration
  • AI-Assisted Teaching
  • Inclusive Learning Technologies
  • AI-Assisted Assessment
  • Lifelong Learning and AI

AI in Healthcare and Wellbeing

  • AI-Assisted Diagnosis
  • Digital Health
  • Clinical Decision Support
  • AI in Mental Health
  • Medical Imaging
  • Assistive Technologies
  • Predictive Healthcare
  • Care Robotics
  • Precision Medicine
  • Public Health AI
  • AI in Biomedical Research
  • Health Equity and AI

AI, Media and Information Integrity

  • AI in Journalism
  • Recommendation Systems
  • AI-Generated Media
  • Content Moderation
  • Synthetic Media and Deepfakes
  • AI and Public Discourse
  • Content Authenticity
  • AI-Mediated Communication
  • Misinformation and Disinformation
  • Media Literacy
  • Information Verification
  • Online Trust and Safety

AI, Arts and Culture

  • AI and Creativity
  • Computational Creativity
  • Generative AI in the Arts
  • AI and Cultural Representation
  • Human-AI Co-Creation
  • AI and Language Diversity
  • AI in Music
  • Creative Labor and AI
  • AI in Literature
  • AI, Identity and Culture
  • AI and Cultural Heritage
  • AI and Cultural Memory

AI, Democracy and Public Institutions

  • AI and Democracy
  • AI in Law and Justice
  • AI and Civic Participation
  • AI in Policing
  • AI in Public Administration
  • AI and Civil Liberties
  • AI in Public Services
  • AI in Migration and Borders
  • Algorithmic Government
  • Public-Sector AI Procurement
  • AI and Social Welfare
  • Citizen Rights and Redress

AI, Inclusion and Global Development

  • AI and Digital Inclusion
  • Low-Resource AI
  • AI Accessibility
  • Indigenous Perspectives on AI
  • AI and Disability
  • AI in the Global South
  • Gender and AI
  • Community-Centered AI
  • AI and Social Inequality
  • AI for Development
  • Multilingual AI
  • Global AI Capacity Building

AI, Environment and Sustainability

  • Sustainable AI
  • AI for Energy Systems
  • Green AI
  • AI for Disaster Management
  • AI for Climate Action
  • AI Infrastructure and Energy Use
  • AI for Environmental Monitoring
  • AI Water and Material Footprints
  • AI and Biodiversity
  • Environmental Justice and AI
  • AI in Sustainable Agriculture
  • AI Lifecycle Sustainability

AI, Cities and Infrastructure

  • AI in Smart Cities
  • AI and Urban Data
  • AI in Urban Planning
  • AI for Housing
  • Intelligent Transportation
  • Accessible Urban Technologies
  • AI for Public Mobility
  • AI in Emergency Management
  • AI in Infrastructure Management
  • Infrastructure Resilience
  • Digital Twins
  • AI in Critical Infrastructure

AI, Science and Research Practice

  • AI for Scientific Discovery
  • AI and Research Integrity
  • AI-Assisted Research
  • AI in Scholarly Communication
  • AI in Social Science Research
  • AI-Generated Research Content
  • Computational Social Science
  • Benchmark and Dataset Quality
  • AI Simulation and Social Modeling
  • Reproducibility and Open Science
  • AI-Assisted Qualitative Research
  • Real-World AI Evaluation
  • Automated Data Analysis
  • Longitudinal AI Impact Studies

AI and the Future of Society

  • Social Change and AI
  • AI Sovereignty
  • AI Futures and Foresight
  • AI and Global Power
  • Societal Impacts of AI
  • Institutional Adaptation to AI
  • Long-Term AI Impacts
  • AI Dependency and Resilience
  • General-Purpose AI
  • AI Resistance and Non-Adoption
  • Artificial General Intelligence
  • Public Perceptions of AI
  • AI and Geopolitics
  • Alternative Futures for AI

The tracks are indicative and non-exhaustive. Interdisciplinary submissions spanning multiple tracks, as well as relevant established and emerging areas of artificial intelligence and society, are welcome. Relevance is assessed through the normal review process, and a topic's inclusion in this list does not guarantee acceptance. If you are unsure whether your research fits, contact us before submitting.

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Abstract submission deadline
5 March 2027
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