Encode AI is a global, youth-led organization that fights for human rights accountability and justice under AI. Harnessing a global network of volunteers from all over the world, we champion informed AI policy and encourage youth to confront the challenges of the age of automation through political advocacy, community organizing, educational programming, and content creation.
We are the Dutch chapter of Encode AI, working to promote and protect digital rights and freedoms in the Netherlands. For more information about Encode Justice in other countries, see our website at encodeai.org.
For examples of global involvement of Encode Justice, see https://ai2030.encodeai.org.
Executive Board
Vilija Vainaite
Founding Chapter Lead
Background: International Business (BSc), Crisis & Security Management (MSc).
Busy with: Consulting for Resilience, Crisis, & Reputation management.
Focus on: Responsible AI innovation, risk & disinformation management, cybersecurity solutions.
Alycia Colijn
Leading Policy & Advocacy
Background: Data Science & Marketing Analytics (MSc), European Law (LLM).
Busy with: PhD research on Ethical & Consumer Perspectives for AI-driven Marketing Personalisation.
Focus on: Safeguarding our human-centric AI future in a multi-stakeholder approach.
Victor Tirot
Leading Education & Research
Background: Data Science & Marketing Analytics (MSc), Behavioural Economics (MSc).
Busy with: Master’s in Data Science with a thesis focused on AI, creativity, and public sentiment.
Focus on: Working for everyone to get the same access to AI and ensure its benefits in human creativity.
Gijs Wijngaard
Leading Policy & Advocacy
Background: Artificial Intelligence (BSc), Data Science (MSc).
Busy with: PhD research on multi-modal reasoning models and semantics of sound.
Focus on: Artificial General Intelligence, AI & Climate, and ethical implications of AI.
Chapter Team
Dimitris Dalkafoukis
Policy & Advocacy
Background: International / European Economics and Relations (BSc), Data Science & Marketing Analytics (MSc).
Busy with: Research, up-skilling, and delivering optimised data solutions.
Focus on: Building an AI safety net, AI bias & transparency, labor markets, accountability, misinformation.
Constantine Xekominos
Policy & Advocacy
Background: Economics (BSc), Data Science & Marketing Analytics (MSc).
Busy with: Academic projects and data science roles.
Focus on: Applying Machine Learning to business strategy and important societal issues.
Join the Chapter Team
Join us in shaping a future where AI serves humanity ethically and equitably.