Themes & Topics — International Conference on Artificial Intelligence and Human Society
The conference welcomes interdisciplinary research at the intersection of artificial intelligence and human society. The topics below are indicative rather than exhaustive, and related submissions that clearly fit the conference scope are welcome.
Our program committee encourages submissions related to, but not limited to, the following themes and topics:
AI Technologies and Emerging Systems
- Machine Learning and Deep Learning
- Natural Language Processing and Large Language Models
- Computer Vision, Speech, and Multimodal AI
- Generative AI and Foundation Models
- Agentic and Autonomous AI
- Intelligent Agents and Multi-Agent Systems
- Robotics and Embodied AI
- Knowledge Representation, Reasoning, and Planning
- Neuro-Symbolic and Hybrid AI
- Data-Centric AI and Data Quality
- Recommender Systems and Personalization
- AI Evaluation, Benchmarking, and Reproducibility
- AI for High-Stakes Decision Support
Human-Centered AI and Human-AI Interaction
- Human-Centered AI Design
- Human-AI Collaboration and Teaming
- Human-AI Delegation and Oversight
- Human Agency and Meaningful Control
- Trust, Reliance, and Calibration
- Explainable and Interpretable AI
- Human-AI Co-Creation and Reasoning
- Human-AI Co-Adaptation and Alignment
- Participatory and Co-Designed AI
- Accessible and Inclusive AI Design
- User Experience and Usability of AI
- Conversational AI and AI Assistants
- AI Companions and Artificial Relationships
- Social Robotics and Human-Robot Interaction
- Anthropomorphism and Social Responses to AI
- Psychological and Behavioral Effects of AI
- AI in Domestic, Family, and Everyday Life
- Hybrid Intelligence and Human Augmentation
AI Ethics, Fairness, Rights, and Responsibility
- AI Ethics and Moral Frameworks
- Fairness, Bias, and Non-Discrimination
- Human Rights, Dignity, and Autonomy
- Privacy, Surveillance, and Data Protection
- Responsible Data Practices and Data Governance
- AI Transparency and Documentation
- Accountability and Responsibility in AI
- Value Alignment and Human Values
- Ethics of Generative AI and Synthetic Content
- Responsible AI in Organizations
- Research Ethics and Integrity in the Age of AI
- Professional Responsibility and AI Ethics Education
- AI Harms, Unintended Consequences, and Redress
AI Safety, Security, and Assurance
- AI Safety and Robustness
- Agentic AI Safety and Oversight
- AI Reliability and Failure Modes
- AI Red Teaming and Adversarial Evaluation
- AI Auditing and Assurance
- AI Risk and Impact Assessment
- Scalable Human Oversight
- Misalignment Detection and Repair
- Post-Deployment Monitoring and Accountability
- AI Incident Reporting and Institutional Preparedness
- AI Security and Adversarial Threats
- AI in Cybersecurity
- Privacy-Preserving and Trustworthy Machine Learning
- Dual-Use AI and Misuse Prevention
- Safety of Autonomous and Embodied Systems
AI Governance, Law, and Public Policy
- Comparative AI Regulation
- Risk-Based AI Governance and Compliance
- AI Liability and Responsibility
- Intellectual Property, Copyright, and Authorship
- Standards, Certification, and Conformity Assessment
- Governance of Foundation and General-Purpose AI
- Governance of Agentic and Autonomous AI
- AI in Courts, Legal Practice, and Dispute Resolution
- AI in Public Administration and Public Services
- Responsible Public Procurement of AI
- Global and Multistakeholder AI Governance
- AI Geopolitics and International Cooperation
- AI Policy for Innovation, Research, and Competitiveness
- Institutional AI Literacy and Governance Capacity
AI, Work, Economy, and Organizations
- AI and the Future of Work
- AI, Employment, Wages, and Job Quality
- Human-AI Teaming in the Workplace
- Algorithmic Management and Platform Work
- Worker Surveillance and Labor Rights
- Skills, Reskilling, and Workforce Development
- Organizational Adoption and Management of AI
- AI, Productivity, Innovation, and Entrepreneurship
- AI and Economic Inequality
- AI Value Chains and Human Labor
- Human Computation and Crowd Work
- Human-Centered Digital Transformation
- AI in Finance, Manufacturing, Services, and Agriculture
AI, Education, Knowledge, and Science
- AI in Teaching, Learning, and Assessment
- Intelligent Tutoring and Adaptive Learning
- Generative AI in Education
- Academic Integrity and Assessment Redesign
- AI Literacy and Critical Thinking
- Teachers, Pedagogy, and Professional Development
- Equity, Access, and Inclusion in AI-Enabled Education
- Learning Analytics and Educational Data Ethics
- AI in Higher Education, Vocational Training, and Lifelong Learning
- AI, Human Expertise, and Cognitive Offloading
- AI-Assisted Research and Scientific Discovery
- AI in Scholarly Communication and Peer Review
- Knowledge Reliability and Epistemic Trust
- Multilingual and Inclusive AI in Education
AI, Health, Well-Being, and Care
- Social and Ethical Dimensions of Health AI
- AI in Clinical Decision Support
- Human-AI Collaboration in Healthcare
- AI in Public Health and Epidemiology
- AI in Mental Health and Digital Well-Being
- Assistive AI, Accessibility, and Rehabilitation
- AI, Ageing, and the Future of Care
- Patient Trust, Consent, and Shared Decision-Making
- Health Equity and Access
- Evaluation and Oversight of Medical AI
- Privacy and Safety in Health AI
- AI for Personalized Health
- AI in Social Care and Community Health
- AI and Global Health
AI, Media, Culture, Creativity, and Public Life
- AI in Journalism and News Production
- Misinformation, Disinformation, and Synthetic Media
- Deepfakes, Authenticity, and Content Provenance
- AI and Information Integrity
- Algorithmic Curation and Recommender Systems
- AI, Social Media, and Public Discourse
- Content Moderation, Automation, and Human Labor
- Computational Propaganda and Influence Operations
- Trust and Credibility in Digital Information
- AI, Advertising, and Persuasion
- Generative AI and the Creative Arts
- Creativity, Authorship, and Human-AI Co-Creation
- AI and Cultural Heritage
- AI, Language, and Translation Across Cultures
- Cultural Values and Representation in AI
- AI in Games, Entertainment, and Interactive Media
- Aesthetics and Machine-Generated Creativity
- AI Narratives and Imaginaries in Popular Culture
AI, Democracy, Inclusion, and Global Perspectives
- AI, Elections, and Democratic Processes
- Citizen Participation, Deliberation, and Civic Technology
- AI in Policing and Criminal Justice
- Civil Liberties and Freedom of Expression
- Civil Society and Technology Accountability
- AI, Peace, Security, and International Relations
- AI and the Digital Divide
- Global South Perspectives on AI
- Indigenous and Community Perspectives on AI
- Gender Perspectives on AI
- Disability Justice and AI Inclusion
- AI and Marginalized or Underrepresented Communities
- Low-Resource Languages and Multilingual AI
- Cross-Cultural Perceptions and Adoption of AI
- Community-Centered and Participatory AI
- Equitable Access to AI and Capacity Building
AI, Environment, Sustainability, and Social Good
- AI for Social Good and Sustainable Development
- AI for Climate Action and Environmental Monitoring
- Environmental Footprint of AI
- Green and Resource-Efficient AI
- Sustainable AI Infrastructure
- AI, Energy, Water, and Resource Use
- AI for Smart Cities, Mobility, and Public Infrastructure
- AI in Agriculture and Food Systems
- AI for Disaster Preparedness and Response
- AI, Biodiversity, and Natural Resource Management
- AI for Humanitarian Action
- AI and Environmental Justice
Philosophy, Cognition, Research Methods, and Societal Futures
- Philosophy of AI and Machine Cognition
- Minds, Consciousness, and Machine Intelligence
- AI, Knowledge, Truth, and Expertise
- Agency, Autonomy, and the Moral Status of AI
- Human Identity, Dignity, and Personhood
- Conceptions of Human, Animal, and Artificial Intelligence
- Posthumanism, Transhumanism, and Human Futures
- AI, Religion, Spirituality, and Worldviews
- AI, Work, Leisure, and Human Flourishing
- Science and Technology Studies of AI
- Sociological and Anthropological Approaches to AI
- Research Methods for Studying AI in Society
- Computational Social Science and AI as a Research Tool
- Real-World AI Deployment and Field Studies
- Longitudinal Studies of AI Adoption and Impact
- Cross-Cultural and Comparative AI Research
- Public Understanding and Perceptions of AI
- Historical Perspectives on AI and Technological Change
- AI Foresight and Societal Futures
Related but unlisted topics are welcome.
Related Research
The organizing committee also welcomes submissions on closely related themes that advance understanding of artificial intelligence in human, social, cultural, institutional, economic, legal, ethical, and environmental contexts.