The International Conference on Artificial Intelligence and the Future of Society takes place in Paris, France, on 26–28 March 2027. It is an AI ethics conference for researchers who want to understand not only what artificial intelligence can do, but what it should do, who it serves and who carries its risks.
AI systems are moving from research laboratories into courts, hospitals, classrooms, workplaces and government offices. Decisions that once belonged to people are now shared with models that are difficult to inspect and easy to scale. Regulation is developing quickly, and public trust is uneven. These changes raise questions that no single discipline can answer. The conference exists to bring those disciplines into one room and to give careful, evidence-based research the attention it deserves.
As a responsible AI conference, it welcomes work that moves beyond principles to practice: how fairness is measured, how accountability is assigned, how transparency is achieved and how affected communities are included in design and oversight. As an AI safety conference with a social focus, it also welcomes research on risk, harm, evaluation and the institutional safeguards that help societies use powerful systems with confidence.
The most important dates to remember are as follows
| Description | Date |
|---|---|
| Paper Submission Deadline | 5 March 2027 |
| Early Registration Deadline | 15 December 2026 |
| Late Registration Deadline | 16 March 2027 |
| Conference Dates | 26–28 March 2027 |
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
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