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Programme 12 February

Funded by the European Union. Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union or European Commission. Neither the European Union nor the granting authority can be held responsible for them.

12 February

10:00 - 10:15
Opening address
Duration: 15 min
A woman with shoulder-length brown hair and patterned round glasses smiles softly while wearing a bright pink textured top against a plain beige background.
Minister of Justice and Digital Affairs of the Republic of Estonia
10:15 - 10:45
Keynote: "What makes AI fair and trustworthy?"
Duration: 30 min
Prof. Brent Mittelstadt Professor of Data Ethics and Policy at the Oxford Internet Institute (OII) at the University of Oxford
Professor of Data Ethics and Policy at the Oxford Internet Institute (OII) at the University of Oxford
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? 

A man in 30s with short light hair and round glasses.
Policy and Legal Officer on AI, European Commission
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.
Government Chief Data Officer, Ministry of Justice and Digital Affairs
A woman with short, curly brown hair and blue eyes smiles warmly at the camera. She is wearing a dark blue top and a silver necklace with a flower-shaped pendant. The background is plain white.
Dr., Senior Researcher at Cybernetica
A man in a dark suit jacket poses confidently against a plain light-gray background.
Moderator, Estonian technology journalist
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 Data Policy Advisor at the Ministry of Justice and Digital Affairs of Estonia
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.

A smiling adult person with a shaved head, light stubble, and clear-framed glasses, wearing a black top against a plain light-colored background.
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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Doctoral Researcher, Tallinn University of Technology
Dr. Prof Thomas Hoffmann TalTech Law School
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.

A woman with brown hair
Senior advisor, responsible for AI at The Equality and Anti-Discrimination Ombud
Kave Noori Artificial Intelligence Policy Officer at European Disability Forum
Artificial Intelligence Policy Officer at European Disability Forum
Katrin Nyman-Metcalf Estonian Human Rights Centre
Estonian Human Rights Centre
Allar Laaneleht Moderator, Ministy of Justice and Digital Affairs of the Republic of Estonia, AI project manager
Moderator, Ministy of Justice and Digital Affairs of the Republic of Estonia, AI project manager
13:45 - 14:45
Lunch
Duration: 60 min
14:45 - 15:15
Keynote: "Detecting discrimination in AI"
Duration: 30 min

There is increasing awareness of the possibility that bias or discrimination can occur where AI is used to make or support decisions. This talk will examine how the tests for direct and indirect discrimination under EU law apply to AI. The talk will then consider how such discrimination can be tackled through legal mechanisms, and whether current legal protections are adequate to ensure that AI discrimination can be detected and addressed.

A woman with long brown hair.
Barrister at Blackstone Chambers
15:15 - 16:15
Panel 2: Governing AI for equality – what works?
Duration: 60 min
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Adviser for the French Defender of Rights
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Head of the Hate Speech, Hate Crime and Artificial Intelligence Unit, Anti-discrimination Department of the Council of Europe
Milla Vidina Senior Policy Officer at Equinet
Senior Policy Officer at Equinet
Dan Bogdanov, PhD Moderator, Academician, Chief Scientific Officer to Cybernetica 
Moderator, Academician, Chief Scientific Officer to Cybernetica 
16:15 - 16:25
Closing reflections
Duration: 10 min