Topic
AI
Commentary
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…
Publications
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.
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.
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.
Projects
As technological breakthroughs can play a critical role in addressing societal challenges, research & innovation (R&I) policy needs to shift the focus from merely appreciating the inherent value of technology development to exploring how they can be harnessed for achieving key societal goals. This project aims to produce a knowledge base to ensure Finland’s R&I policy is strategically impactful while remaining supportive of emerging technologies.
Artificial intelligence (AI) systems can undermine democracy via the cultural disruptions they create, the power dynamics they shift, their tendency toward opacity, and the speed at which they change. The KT4D project investigates how democracy and civic participation can be facilitated in an era of rapidly changing knowledge technologies — such as AI and big data, thereby mitigating the risks of such technologies and identifying how they can be used to reinforce democratic governance and trust in public institutions.
What does the rapid expansion of AI mean for society? Driven by pressures to do more with shrinking resources, public sector authorities are deploying and planning to deploy automated service delivery. The pursuit of efficiency, combined with the lack of well-defined operational models and insufficient regulatory oversight, creates pressure towards…
People
Sawsan Abdulbari
Sawsan turns messy problems into clarity and solutions, and she’s usually already learning about the next thing before the last one’s finished. Data science, machine learning and generative AI, all fascinate her, but the technology itself matters less than what it’s for. When a problem is too tangled to see…
Linda Marin
Linda wants technology to be helpful. That want is the foundation of her work when building models, automating tasks nobody wants to do by hand, and going through raw data until value is found. She’s just as comfortable explaining what AI means to someone who has never even heard about…
Rasmus Kull
Sustainability transformations are inherently complex. How can organisations lean into research, technology, and stakeholder interaction to make better decisions while navigating that complexity? Questions like these drive Rasmus in his work. Work that connects knowledge with action draws him in like a moth to a flame: be it turning research…
Artturi Pura
Artturi is driven by the question of how public policy can shape socially just, economically prosperous, and democratically sustainable futures. Recognising that these societal goals are increasingly intertwined with our digital landscape, Artturi explores how to strengthen the capacity of policy to govern and reshape technological change. At Demos Helsinki,…
Rita Latikka
Rita is a social psychologist who brings a human-centred perspective to the development and deployment of technologies. Her academic interests include the social acceptance and effects of digital technologies, as well as human-computer interaction. Rita believes that technology is too important to be left solely to technologists and advocates for…
Vera Djakonoff
Clinging on to only what we have now is a lousy way forward. At Demos Helsinki, Vera’s work focuses on anticipatory governance: promoting governments’ and organisations’ ability to both build resilience and drive transformation. A key question in her work is: how can we create and deepen our connection to…
Anna Björk
Anna is a political scientist whose academic love affairs include research on political concepts, societal impacts of emerging technologies, and temporality. Her current research analyses societal transformations from the perspectives of EU digital policy, contemporary social contracts, and inclusivity. Alongside doing research, Anna is also working closely with her colleagues…
Atte Ojanen
Atte is in charge of coordinating Demos Helsinki’s European research funding to enable societal transformation. As a research manager, he is your go-to-person in Horizon Europe and other research collaboration matters. Atte’s own research centers on societal effects of emerging technology, the ethics of AI, and deliberative democracy. Atte is…
Johannes Mikkonen
Johannes is dedicated to redefining the terms and conditions of our digital futures by exploring the ways to reshape our current sociotechnical systems, advising on policies to remaster technologies and forming visions of emerging alternative futures. At Demos Helsinki, Johannes has worked with various ministries and Prime Minister’s Offices around…
Themes
Our mission is to help organisations turn uncertainty into possibility by remastering technology and imagining alternative futures.
Policies against algorithmic discrimination still lacking
September 22, 2021
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…