specializations connecting research, design, engineering, governance, and change.
AI4DX
Human-Centered AI starts with experience.
AI4DX is the international alliance defining how Artificial Intelligence must be designed, evaluated, and governed through Human-Centered Digital Experience.
shared foundation for trustworthy AI practice across disciplines.
alliance spanning industry, academia, public sector, and civil society.
AI engineering, research, design, ethics, and policy on one shared standard.
We connect the disciplines responsible for building AI systems so that the experience people have with them is transparent, inclusive, and worthy of trust.
Trust is not a feature. It is a system property.
AI4DX makes that property measurable by combining user experience, technical quality, and governance readiness.
Human-Centered by Design
Experience and usability shape the system from the first concept onward, not as a late-stage validation exercise.
Standards and Certification
AI4DX turns principles into practical capability signals that teams, partners, and institutions can evaluate.
Policy-Ready
Built for alignment with EU AI Act principles and international standards without reducing practice to paperwork.
Global Network
Industry, academia, public institutions, and civil society work together on a common language for trusted AI.
Build verified capability in Human-Centered AI and Digital Experience.
The certification path starts with a shared foundation and expands into role-specific specializations for research, design, engineering, governance, and adoption.
Foundation in AI for Human-Centered Digital Experience
Build core competence in the principles, methods, and responsibilities needed to shape trustworthy AI experiences.
- Human-centered AI principles
- Digital experience and UX foundations
- AI and ML fundamentals
- Ethics, risk, and trust
Earn the title AI4DX Practitioner - Specialization in [X]
Choose the route that matches the role you play in delivering, governing, researching, or scaling AI-enabled products and services.
Data Science
Data quality, model basics, bias detection, and responsible use of data in applied contexts.
- Dataset governance
- Bias detection
- Model evaluation
Digital Research
Usability testing, user research, quantitative methods, and UX metrics for AI-enabled journeys.
- Research design
- Trust metrics
- Evidence-led iteration
Human-AI Interaction
Conversational design, prompting patterns, multimodal UX, and explainable interactions.
- Prompt patterns
- Multimodal flows
- Explainability
AI Engineering
Architectures, training, deployment, monitoring, and production reliability for AI systems.
- Training pipelines
- MLOps delivery
- Monitoring and drift
Ethics & Governance
AI Act alignment, risk controls, accountability, and governance frameworks you can actually operate.
- Risk controls
- Accountability
- Regulatory alignment
Change & Adoption
Stakeholder enablement, transformation planning, and responsible organizational rollout.
- Enablement design
- Change management
- Responsible adoption
Membership, working groups, and standards development.
AI4DX brings together practitioners and institutions building the future of human-centered AI.
Individual and organizational access
Membership creates a shared platform for expertise, visibility, collaboration, and practice exchange.
Focused groups turn ideas into standards
Structured collaboration across ethics, interaction, accessibility, and certification practice.
AI is powerful. Experience makes it trusted.
AI4DX defines the standard for AI and Digital Experience across product practice, governance, and capability building.