AI systems have fully permeated society and are making positive impact in many ways. However, the widespread use of AI systems also leads to unintended negative effects on people and society, including social inequality and discrimination. The SIAS research group studies how to advance people's everyday life and society in general through AI research, education and impact. The group engages in incremental trust building and value learning with stakeholders across various scientific disciplines and application domains, and on topics that are relevant both socially and academically.
Socially Intelligent Artificial Systems Group
Research into civic-centered and community-minded artificial intelligence (AI) that aims to reduce inequality and promote equal opportunity in society.
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Repositories
Showing 7 of 7 repositories
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- eptnr-easm Public
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- ams-transit-network-starter Public
Getting started with the Amsterdam Transit Network and calculating traveltimes
- fair-transport-network-design Public
Code for paper "Balancing Fairness and Efficiency in Transport Network Design through Reinforcement Learning"
