MICAI 2026 | GAIN Governance, AI & Innovation

/ GAIN Governance, AI & Innovation

Research areas

Topics of interest

Submissions should address, but are not limited to, the following topics.

01 /

Governance, Risk and Responsible AI

· AI governance and responsible AI adoption

· Human oversight, accountability, and risk management in applied AI systems

· Data governance, privacy, fairness, and reliability in industrial AI applications

· Trustworthy AI

· Explainability and interpretability

· Auditability of AI systems

· Human-centered evluation

· Policy, regulation, compliance, and public-sector implications of AI deployment

· Institutional accountability

· Ethical implications of AI deployment

· Governance models for enterprise AI

Submit abstract

02 / APPLICATIONS

Technical and Applied AI Systems

Bridging the gap between theory and execution.

· Problem framing and real-world AI case studies

· Building, evaluating, and deploying AI systems in real-world environments

· Multimodal AI and heterogeneous data integration

· Natural language processing

· Generative AI

· Computer vision and perception systems

· Applied predictive modeling

· Decision-making under uncertainty

· Deployment pipelines

· MLOps and AI system lifecycle management

· Evaluation frameworks for deployed AI systems

· Post-deployment monitoring and feedback loops

· Continuous improvement of AI systems

· AI systems for manufacturing, health, education, mobility, finance, services, and government

03 /

Organizational Adoption and Transformation

· Organizational readiness for AI adoption

· Institutional barriers to AI adoption

· Change management for AI

· AI strategy and roadmaps

· AI maturity assessment

· AI adoption frameworks

· AI operating models

· AI Centers of Excellence

· Organizational design for AI

· Capability development and AI literacy

· Human-AI collaboration

· AI leadership practices

· AI-enabled organizational transformation

· Enterprise-scale AI adoption

· Business agility and AI transformation

· Cultural transformation for AI adoption

Submit abstract

04 / APPLICATIONS

Value, Impact and Collaboration

Bridging the gap between theory and execution.

· AI ROI and business value measurement

· Impact assessment of AI systems

· Value realization in AI initiatives

· Industry case studies and lessons learned

· Academia-industry collaboration models for applied AI innovation

· Cross-sector AI adoption models

Evidence-based AI adoption

· Socio-technical systems and AI

· Organizational learning and AI

· Sustainable AI transformation