Topic

AI

Commentary

Policies against algorithmic discrimination still lacking

The deployment of AI systems in the public sector is still in its infancy, but algorithmic discrimination has been identified as a growing risk. The first findings of research project ‘Avoiding AI Biases‘ show that tools to assess and address discrimination are still lacking. The challenge: Algorithmic discrimination threatens fundamental…

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AI governance to avoid bias and discrimination

Artificial intelligence (AI) can enable great societal benefits by allowing for more efficient and personalized services. Indeed, automated decision-making systems based on machine learning algorithms are increasingly utilized in essential public or private services like recruitment, education, finance, health care, advertising, and policing. However, this can also give rise to…

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Publications

Robotics Scenarios 2040: Four possible futures for robotics and work in Finland

Robots are moving beyond factories into care, services, construction and logistics. Robotics Scenarios 2040 sets out four possible futures for Finnish working life and seven jointly agreed recommendations for the government formed after the 2027 parliamentary elections. The project also presents seven claims the partners could not agree on, for politicians and society to debate.

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AI, automation and public authority: Beyond the hype of algorithmic decision-making in the Nordic welfare state

Nordic public administrations are among Europe’s most digitally advanced. FEPS policy study authored by Demos Helsinki examines three automated systems in Norway, Finland, and Sweden and sets out thirteen recommendations for public organisations and policymakers on governing automation.

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A framework for democratic AI governance

This policy brief focuses on short-term action (2026-2028) around AI governance and provides practical guidelines for experts and policymakers. It introduces a framework that embeds democratic pillars — participation, freedom, equality, transparency, knowledge, and the rule of law — directly into the entire AI lifecycle.

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Projects

New research aims to define what “successful AI” means in society (FORSEE)

For those involved in shaping the next phase of European AI policy, FORSEE is a research project that offers both a warning and a roadmap: success must be defined before it can be delivered.

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Impact of algorithmic management on workers

In this digital era, the prevalent use of algorithmic management in the workplace has created a new set of challenges for workers and labour unions. This project studies the profound effects of algorithmic management on workers and labour organising in the Nordic context.

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ARISE – Human-centric, agile, and ethical human-robot interaction (HRI)

Demos Helsinki and nine other front-running organisations in technology across Europe join forces in this project towards making industrial human-robot interaction (HRI) more accessible, cheaper, and easier to adopt. The particular focus of the project is on HRI in healthcare, intralogistics and manufacturing. 

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People

Themes