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Themes & Topics — Global Conference on AI and Future of Work

Topics of interest include, but are not limited to, the following interdisciplinary areas spanning AI, work, employment, skills, organizations, governance, worker outcomes, industries, and public policy.

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AI Technologies and Intelligent Work Systems

Generative AI and Large Language Models at Work
Agentic AI and Autonomous Work Systems
AI Agents and Workflow Orchestration
AI Copilots and Intelligent Assistants
Intelligent Automation and Robotic Process Automation
Robotics and Physical AI in the Workplace
AI-Enabled Decision Support
Workplace Analytics and Intelligent Systems
Multimodal AI for Workplace Applications
Emerging Technologies for Future Work

Human-AI Collaboration and Work Design

Human-AI Collaboration and Teaming
Automation, Augmentation and Task Redesign
AI Delegation and Task Allocation
Human Oversight and Verification
Trust and Reliance in Human-AI Work
Human-AI Decision-Making
Human Agency in AI-Supported Work
AI-Assisted Creativity and Knowledge Work
Human-Computer Interaction for Future Work
Worker-Centred AI Design

Employment, Occupations and Labour Markets

AI and Labour-Market Transformation
AI, Employment and Occupational Change
AI Exposure and Task Transformation
Job Creation, Displacement and Transformation
Occupational Restructuring and Career Transitions
AI, Labour Demand and Workforce Composition
AI, Wages and Compensation
AI and Entry-Level Employment
AI and Labour-Market Inequality
AI and Informal Employment
Comparative and Regional Labour-Market Effects

Skills, Learning and Talent Development

AI Literacy for the Workforce
Future Skills and Competencies
Reskilling and Upskilling
AI and Talent Development
Lifelong Learning in the AI Era
Workforce Training for AI Adoption
AI-Enabled Learning and Training
Skills Assessment and Skills Intelligence
AI, Skills and Job Matching
Cognitive Offloading and Skill Atrophy
Education-to-Work Transitions

Organizations, Leadership and Human Resource Management

Organizational AI Adoption and Diffusion
AI Strategy and Organizational Transformation
Leadership in AI-Enabled Organizations
Managing Human-AI Workforces
Algorithmic Management
AI in Human Resource Management
AI-Enabled Recruitment and Selection
AI-Assisted Performance Management
AI and Workforce Planning
Organizational Design and Hierarchies
Change Management for AI Adoption
Employee Voice, Adaptation and Professional Identity

Productivity, Innovation and Economic Transformation

AI and Workplace Productivity
Generative AI and Knowledge-Work Productivity
AI Agents and Productivity
Human-AI Complementarity
AI-Enabled Process and Organizational Innovation
AI Adoption and Firm Performance
Economics of AI Adoption
AI-Driven Entrepreneurship and New Business Models
AI, Competition and Market Transformation
AI Diffusion Across Firms and Industries

Responsible AI, Governance and Worker Rights

Responsible and Trustworthy Workplace AI
AI Ethics in Employment and Organizations
Fairness and Non-Discrimination
Transparency and Explainability
Accountability for Workplace AI Decisions
AI Governance and Risk Management
AI Regulation and Employment Law
Worker Privacy and Data Protection
AI Auditing and Impact Assessment
Human Rights and AI at Work
Cybersecurity in AI-Enabled Workplaces
Social Dialogue and Worker Participation

Job Quality, Well-Being and Inclusive Work

AI and Job Quality
Worker Well-Being in AI-Enabled Workplaces
AI and Psychosocial Risks
AI and Work Intensification
Worker Autonomy and Control
Digital Monitoring and Workplace Surveillance
Occupational Safety and Health
AI, Workload and Cognitive Load
Inclusive and Accessible Workplace AI
AI, Disability and Neurodiversity
Diversity, Equity and Inclusion in AI-Enabled Workplaces

Digital, Platform and Emerging Forms of Work

AI-Enabled Remote and Hybrid Work
Digital and Distributed Workplaces
Platform Work and the Gig Economy
AI and Freelancing
Crowd Work and Digital Labour
Algorithmic Labour Control
AI, Platforms and Precarious Work
Digital Labour Rights and Platform Governance
AI and New Forms of Employment

AI Supply Chains and Human Labour

AI Supply Chains and Data Work
Human-in-the-Loop Work
Data Annotation and AI Labour
Content Moderation Work
Hidden Labour Behind AI
Working Conditions in AI Supply Chains
AI Supply-Chain Transparency
Responsible AI Sourcing and Labour Standards
AI Infrastructure and Sustainability

Industries, Professions and Sectoral Transformation

AI and Professional Work
AI in Manufacturing
AI in Healthcare Work
AI in Education and Academic Work
AI in Finance and Professional Services
AI in Software Development
AI in Customer and Service Work
AI in Creative and Media Industries
AI in Legal Work
AI in Science and Research
AI in Agriculture
AI in Logistics and Transportation
AI in the Public Sector and Public Services
AI Adoption in Small and Medium-Sized Enterprises

Global Development, Society and Public Policy

AI and Work in Emerging Economies
AI and Work in the Global South
Cross-Country and Cross-Cultural Perspectives
AI, Development and Employment
AI and Digital Inequality
AI and Social Inclusion
AI and Social Protection
AI and Labour Institutions
Public Policy for AI and Work
International Labour Standards and AI

Research Methods, Measurement and Evidence

Measuring AI Adoption and Diffusion
Measuring AI Exposure and Occupational Change
Measuring AI Labour-Market Effects
Productivity and Human-AI Performance Measurement
Field Experiments on AI and Work
Longitudinal Studies of Workplace AI
Causal Evaluation of AI Adoption
Worker and Employer Surveys
Computational and Task-Level Labour Research
Datasets, Indicators and Benchmarks for AI and Work
Comparative and Cross-National Research

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