TAISIG for human-centric AI
Tilburg University stands out for its holistic, multidisciplinary approach to Artificial Intelligence, combining a technical perspective with a focus on the social, legal, ethical and economic demands and impact of AI. To strengthen this approach, TAISIG connects researchers from different departments and research groups to maximize their contribution to the development of human-centric AI for the benefit of society.
Artificial intelligence helps to address complex societal issues better, faster, and more efficiently in domains such as energy transition, mobility, and personalized treatment in healthcare. At the same time, AI also challenges us to think about how to develop and use these promising applications in a responsible and sustainable manner.
In the pursuit of creating an impact on society, Tilburg University collaborates with local, national, and international partners both in the private and the public sector. We develop AI tools and techniques on a foundational level, exploring the social, legal, ethical, and economic requirements and impact of AI as a technology and its artifacts and applications and developing and studying human-machine configurations in concrete applications.
Within Tilburg University, several Departments, researcher clusters, and programs engage in AI-related projects. The Tilburg University AI Special Interest Group (TAISIG) pools together and strengthens the university’s AI activities by bringing together researchers from different disciplines, initiating and accelerating the development of new research proposals and grant applications.
Download the TAISIG position paper
Focus
Tilburg University aims at leveraging its scientific knowledge and skills base in artificial intelligence (AI) in the domains of the social sciences and humanities. It builds on its strong reputation in these domains.
The focus is on human-centric AI, contributing to the strategic direction that is pursued by the European Commission and by the Netherlands Artificial Intelligence Coalition (NLAIC). More specifically, we adhere to such general principles as FAIR data concepts and explainable intelligent algorithms.
Our approach is holistic and multidisciplinary, thus combining all relevant elements into an integrated human-centric approach from the following three perspectives:
Clusters
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Ethical, legal and societal aspects
One of the key tenets of AI at Tilburg University is that AI is always part of a socio-technical context and that this context matters. As a university founded on humanistic values, we build on decades of experience in society-driven research, enabling us to critically assess the complex interplay of AI and society.
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Data, algorithmic, and methodological aspects
Tilburg University has considerable expertise in natural language processing, machine learning (including deep learning), agents and robotics, decision making, and computer vision.
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Application domain related aspects
Technology is developing rapidly, providing new AI methods, better ways of collecting data, more extensive and larger data sets, and more possibilities for applications in many domains.
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Articles
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News
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Using AI to combat hunger and the effects of poverty
26th May 2023For a new podcast in the TAISIG Talks series, Professor of Computer Science Pieter Spronck interviewed Marleen Balvert and Wouter De Baene about their involvement in the Zero Hunger Lab and the Zero Poverty Lab. They discussed the goals of the two labs and the technologies and data that make it possible to work towards these goals.
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TAISIG experts discuss ChatGPT in new podcast
30th March 2023Is our society ready for a disruptive AI system like ChatGPT? That is one of the questions addressed in a new TAISIG Talks podcast episode
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Merel Noorman writes on data governance clinics in publication of the Dutch AI Coalition
22nd February 2023During the first national ELSA Labs conference organized by the Dutch AI Coalition (NL AIC), the publication 'Ethics and AI - Seven methods in theory and practice’ (in Dutch) was presented.
TAISIG is one of the communities supported by Tilburg University's Digital Sciences for Society program.