Advancing society through inclusive AI technology

The Socially Intelligent Artificial Systems (SIAS) group is part of the Informatics Institute at the University of Amsterdam. The group focuses on civic-centred and community-minded artificial intelligence (AI) that aims to reduce inequality and promote equal opportunity in society.

SIAS arose out of the concern that AI is increasing inequality in society. If researchers do not intervene, there is a great risk that the gap between the poor and the rich and general inequality will increase. The predominant questions the group tries to answer are: How can we use AI, and in particular learning systems, to advance society? And how can we do that in such a way that people from all corners of society benefit from it?

For its research projects SIAS uses data from municipalities and ministries to uncover inequalities in the city of Amsterdam and society in general. They do this in the social domains of education, well-being, mobility, environment and health. One project for example focuses on mobility poverty. Some groups in the city do not have the same opportunity to move throughout public spaces as others do. Where does this inequality arise?

And together with the GGD (Municipal Health Services), the group conducts research into child obesity. Children in families with a lower socioeconomic status and families with a non-western or a migration background suffer more from obesity than others. One of the education projects looks into the increasing inequality in schools in the Netherlands. How can government and municipal school funding be distributed in such a way that all children benefit from it in equitable ways?

Facts & figures

SIAS operates at the crossroad of two big transformations in society: diversification and digitization. Society is demographically changing rapidly and is becoming increasingly technologically complex. SIAS is one of the few research groups working on this intersection. The group merges the social and the technical aspects in a way that benefits the social.

In order to develop socially intelligent AI, it is necessary to do research across the whole spectrum of theoretical, fundamental and practical research. SIAS covers all these aspects. PhD students and post-docs come from different parts of the world and have a great motivation to use their AI knowledge for social good. SIAS is communicating with other ministries, municipalities and NGO’s to cooperate and start new collaborations. The group has plans to expand considerably.

Partnership & collaborations

SIAS is engaged in a long-term partnership with Vrije Universiteit Amsterdam, the City of Amsterdam and the Dutch Ministry of Interior Affairs in the Civic AI Lab. This lab is part of ICAI, the Dutch national AI network that stimulates AI technology and talent development between academia, industry and government.

One application SIAS works on with the City of Amsterdam is the development of accessible AI-tools for civil servants that define unwanted machine behaviour in their AI-systems. When it comes to the distribution of children across schools for example, these systems can help them make sure that there is no discrimination based on the social background of people. It can help policymakers to explore decisions that take into account the possibility of unwanted outcomes such as social discrimination and inequality.

Future mission

Recently, a group of scientists conducted research into the impacts of AI on the sustainable development goals (SDGs), set by the United Nations in 2015. According to this study, AI has a positive impact on most of the SDGs. However, it has a negative impact too, in particular on SDG 10 (reduced inequalities). SIAS’s future goal is to use AI to help advance SDG 10. In order to do this, they will build AI systems that understand, value and build on differences between people in terms of socio-cultural values, knowledge, skills and lifestyle. The group does not focus on one-size-fits-all algorithms, but on algorithms that know the different citizens and communities.

A big point of focus is how to involve citizens and communities in the ongoing datafication and digitization of society. This is a challenge because citizens are reluctant to just give away their data, out of fear of data abuse, privacy invasion and loss of agency. SIAS will explore ways to engage citizens in data collection, algorithm development and technology assessment in ways that benefit and empower citizens and communities, rather than third parties.

University of Amsterdam

University of Amsterdam