Programme

Programme

17:00 - 17:30

Opening session

Duration: 30 min

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Christian Veske

Gender Equality and Equal Treatment Commissioner of Estonia

A woman in a pink shirt, with straight, brown, chin-length hair, wearing thin-framed glasses.

Birutė Sabatauskaitė

Equal Opportunities Ombudsperson of Lithuania

17:30 - 18:45

Opening high-level debate: Automated Decisions and Human Rights in Digital Europe

Duration: 75 min

How can we ensure Europe’s digital infrastructure remains fair, transparent, non-discriminatory yet globally competitive? Who should be held accountable when automated systems cause harm?

Christian Veske

Gender Equality and Equal Treatment Commissioner of Estonia

Ana Carla Pereira

European Commission, DG JUST, Director of Equality and Non-Discrimination

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Andre Hanimägi

Member of the Legal Affairs Committee of the Parliament of Estonia (Social Democratic Party)

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Ana Tokhadze

Policy Advisor - Seconded Official, Directorate General Human Rights and Rule of Law - Digital Development Unit, Council of Europe

19:00 - 21:00

Reception and networking

Duration: 120 min

10:00 - 10:15

Opening address

Duration: 15 min

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Anna Pihl

Moderator, Journalist and broadcast host at Estonian Public Broadcasting (ERR)

10:15 - 10:45

Keynote: “What makes AI fair and trustworthy?

Duration: 30 min

Prof. Brent Mittelstadt

Professor of Data Ethics and Policy, Oxford Internet Institute, University of Oxford & Principal Investigator, Weizenbaum Institute

10:45 - 11:45

Panel 1: From principles to practice – is algorithmic fairness possible?

Duration: 60 min

In this panel debate we discuss if algorithmic fairness is possible. We ask how effective are current EU and national policies in addressing bias, discrimination, and risk in AI systems? How do we translate principles into practice?

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Henrik Trasberg

Policy and Legal Officer on AI, European Commission

Marju Purin, PhD

Senior Machine Learning Scientist, Microsoft

The image shows a light-skinned man with glasses, a short beard, and a bald head. He is wearing a dark T-shirt and a gray jacket, giving off a neat and professional appearance. His expression is calm and friendly.

Ott Velsberg

Government Chief Data Officer, Ministry of Justice and Digital Affairs

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Liina Kamm

Dr., Senior Researcher at Cybernetica

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Henrik Roonemaa

Moderator, Public sector communication strategist and tech expert

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Marju Purin, PhD

Senior Machine Learning Scientist, Microsoft

11:45 - 12:15

Coffee break

Duration: 30 min

12:15 - 13:45

Parallel breakout sessions / Session A: Measuring fairness – tools, tests and trust

Duration: 90 min

This session, hosted by the Ministry of Justice and Digitalisation of Estonia, will focus on key elements to build confidence that ADM systems are fair. Which assurance methods work, and what barriers remain?

Sofia Paes

Moderator, Data Policy Advisor at the Ministry of Justice and Digital Affairs of Estonia

12:15 - 13:45

Parallel breakout sessions / Session B: Responsible Innovation: Legal Accountability in the Digital Public Sector

Duration: 90 min

Public authorities are expected to innovate rapidly with ADM systems, yet they also carry unique legal and ethical responsibilities. This session will explore how innovation in governance can align with principles of accountability, transparency, and rights protection.

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Pablo Martínez Ramil, Ph.D.

Lecturer at the Department of Law, Tallinn University of Technology. Research at CLAiR – The Czech Law and Advanced Technologies Research Institute, Palacký University Olomouc.

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Ebru Metin

Doctoral Researcher, Tallinn University of Technology

Dr Prof Thomas Hoffmann

Moderator, TalTech Law School

12:15 - 13:45

Parallel breakout sessions / Session C: Designing with people – civil society and inclusive AI

Duration: 90 min

In this session, hosted by the Estonian Equality Commissioner’s Office, we discuss how public participation and inclusive design can strengthen fairness in AI.