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

A Vision for Higher Education in 2030

Finnish higher education and research are facing a changing landscape: work (and therefore universities’ role in relation to it) is changing, competition for the brightest minds has gone global, needed meta and hybrid skills are changing, AI and robotization is opening up new possibilities, and science is becoming more and…

People

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