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…

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…

Publications

An assessment framework for non-discriminatory AI

AI systems can have a positive impact, but at the same time, biased algorithmic decision-making poses threats to equality and non-discrimination. Demos Helsinki conducted an assessment framework and a policy brief that would assist developers to establish an equitable journey for the development of AI services in the public sector, from design to deployment.

Projects

KT4D: Fostering democracy through knowledge 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.

REPAIR and renewal of algorithmic systems

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…

AI 4.0: Finland as a leader in the twin transition

Launched in 2020, The Artificial Intelligence 4.0 programme summarises the areas for development, objectives and measures to help Finland ensure its success in the digital and green transitions. In November 2020, Minister of Economic Affairs Mika Lintilä appointed a steering group led by Jussi Herlin to prepare an action plan…

People

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