Anthony Lim
Senior Fellow, Center for Strategic Cyberspace & International Studies
Building Cyber Resilience for Trusted AI and Digital Governance
Open international conference
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Abstract Submission Ends: 31 October 2026
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Registration Ends: 20 November 2026
AI Governance • Data Strategy • Risk & Compliance • Digital Trust
9th Congress on Artificial Intelligence, Data Governance & Digital Trust
ECAIDGDT 2027 brings together researchers, technology professionals, data and AI practitioners, cybersecurity specialists, policymakers, legal and risk professionals, academics, students, innovators, and industry participants to advance responsible AI adoption, data governance, compliance, cyber resilience, and digital trust through research, practice, and cross-sector collaboration.
Venue
Zurich
Switzerland
Dates
26–28 May 2027
3-day international conference
Format
Open conference
Open participation for delegates, presenters, researchers, professionals, and students.
Outcome
Governance-ready AI
Controls, assurance, and adoption at scale.
Congress overview
An international conference bringing together research, policy, governance, cybersecurity, data, and technology communities. Delegates may register directly, while presenters can submit an abstract for review.
Dates
26–28 May 2027
Participation model
Submit Abstract → Review → Register
Non-presenting delegates may register directly
Business Address: 98 Theobalds Rd, London WC1X 8WB, UK
Scientific & professional exchange
Keynotes • research presentations • panels • networking
Key dates
Important milestones for abstract submission, review, registration, and conference participation.
Abstract submission deadline
31 October 2026
Notification
Within 7–10 days of submission
Registration deadline
20 November 2026
Congress dates
26–28 May 2027
Why attend ECAIDGDT 2027
A multidisciplinary international programme connecting AI governance, data strategy, cybersecurity, law, risk, compliance, research, responsible innovation, and digital trust across academic, public-sector, and industry perspectives.
Open international participation
Welcoming delegates, researchers, practitioners, academics, students, policymakers, and industry participants.
Register directly or submit an abstract
Interactive panels & roundtables
Focused discussions connecting research findings, implementation experience, policy, and professional practice.
Outcome notes & next steps
Assurance & accountability
Controls, auditability, and measurable governance for enterprise AI.
Model risk & assurance
Delegate support
Invoices, documentation support, and delegate assistance.
Who should attend
Designed for professionals, researchers, academics, policymakers, students, and technology practitioners working across AI, data governance, cyber risk, compliance, digital trust, and responsible innovation.
Chief Data Officers
AI / ML leadership
CISO / security heads
Risk & compliance leaders
Legal & privacy teams
Audit & assurance
Academics & researchers
Questions about participation? Use Connect With Us to contact the conference team.
What you will gain
Clear outcomes—kept intentionally concise to avoid noise.
Governance-ready controls
Practical lifecycle controls, documentation, and assurance patterns.
Cross-sector peer exchange
Discussion across operating models, research, governance practice, compliance readiness, and implementation.
Risk & audit alignment
Evidence-first approaches to audit, third-party risk, and incident response.
Trust outcomes
Identity, provenance, privacy-by-design, and confidence in AI outputs.
Participation model
A straightforward pathway for presenters and non-presenting delegates.
Step 1
Register
Presenters submit an abstract aligned with the conference themes.
Step 2
Scientific Review
Abstracts are reviewed for relevance, clarity, quality, and programme fit.
Step 3
Decision
Accepted presenters receive the presentation decision and next steps.
Step 4
Register
Accepted presenters register to confirm participation; non-presenting delegates may register directly.
Featured Leaders
Featured speakers contributing insight across AI governance, cybersecurity, digital transformation, healthcare innovation, data platforms, responsible technology, policy, and applied research.
Anastasia Su-Anne Chen
Deputy Head, Data Protection, Privacy and Cybersecurity
Data Protection, Privacy & Cybersecurity
Dr. Gary Ang Yee
Consultant and System Strategist, NHG Health
Responsible AI in Health Systems: Strategy, Governance and Implementation Readiness
Dindo Marzan
Senior Vice President & Head of SME Business Group
Scaling Digital Trust for SMEs: AI, Data and Customer-Centred Transformation
Bernie O’Neill
Project Director, WorldDAB
Connected Platforms, Digital Trust and the Future of Broadcast Innovation
Gong He
Co-Founder, FingerDance
Building AI Products with Trust, Scale and Responsible Innovation
Strategic Partners
ECAIDGDT 2027 recognises organisations contributing to enterprise AI, digital transformation, intelligent systems, semiconductors, robotics, and industry innovation.
TSMC
Global semiconductor manufacturing leader supporting advanced chips, AI hardware, and next-generation digital infrastructure.
Dassault Systèmes
Digital twin, simulation, design, and enterprise innovation platforms for trusted industrial transformation.
ABB
Industrial automation, robotics, electrification, and intelligent systems supporting smarter enterprise operations.
Foxconn
Advanced electronics manufacturing and smart supply chain capabilities for AI-enabled industry.
HIKRobot
Machine vision, mobile robotics, and intelligent logistics systems for automated operations.
Advantech
Edge computing, industrial IoT, embedded platforms, and AI-ready digital infrastructure.
OMRON
Automation, sensing, control technologies, and intelligent manufacturing solutions.
Rockwell Automation
Smart manufacturing, industrial control systems, automation platforms, and connected enterprise operations.
ST Engineering
Technology, engineering, defence, smart city, and digital systems innovation across critical sectors.
Keyence
Precision sensors, machine vision, measurement systems, and factory automation technologies.
TM One
Enterprise cloud, connectivity, cybersecurity, and digital transformation services for organisations.
Aerodyne
Drone intelligence, data analytics, and AI-enabled infrastructure inspection solutions.
Themes & focus areas
Clear themes help delegates assess relevance quickly and support high-quality proposals aligned to governance-ready, trusted AI.
Enterprise AI Strategy & Operating Model
AI value cases, operating models, leadership alignment, and accountable deployment.
Data Governance & Data Products
Ownership, stewardship, quality, lineage, catalogues, and product-centric data.
Model Governance & Lifecycle Controls
Documentation, monitoring, drift, incident response, and deployment guardrails.
Risk, Compliance & Assurance
Frameworks, audit readiness, third-party risk, and evidence-based assurance.
Privacy, Security & Responsible Data Use
Data minimisation, access controls, secure pipelines, and privacy-by-design.
Digital Trust & Identity
Trust signals, identity and access, provenance, and confidence in AI outputs.
Agenda at a glance
A clear conference programme across three days — structured time blocks for roundtables, keynotes, and measurable governance outcomes.
Day 1
Strategy & Operating Model
Opening keynote, governance foundations, operating models, and cross-sector alignment.
Day 2
Controls, Risk & Assurance
Model lifecycle controls, evidence, audit readiness, privacy & security.
Day 3
Trust Outcomes & Adoption
Digital trust, identity, adoption at scale, and next-step implementation actions.
Host location
Venue details, access, and local guidance
Venue & access
All host location information is consolidated for clarity — access routes, recommended stays, and local tips.
City
Zurich, Switzerland
Host location
View venue details