Creating value through responsible Artificial Intelligence and Big Data

The impact of Artificial Intelligence (AI) can be felt in every segment of society. From the automatic detection of cybercrime to improving the efficiency of healthcare: the impact of large databases is growing in almost every facet of science, the economy and society. AI not only employs large quantities of data, but also new combinations of data and streams of information. This imposes new demands on infrastructure and technology, and on the society that implements them.

Projecten

R-DAISES: Responsible Data and AI Sciences ExplorationS

Het gebruik van data voor analyses, voorspellingen en AI neemt nog steeds sterk toe in een grote verscheidenheid van toepassingen.

RAISE: Responsible AI Science Explorations

This proposal aglomerates three subprojects that represent the next steps in the responsible use and access to big data, specifically foc

Does this algorithm apply to me? Developing `causal effective sample size’ for decision support algorithms

Decision support algorithms in critical domains such as healthcare can be immensely beneficial, but they also pose risks, such as the pro

You and AI: Designing AI-Equipped Jobs Together

Dit onderzoeksvoorstel richt zich op een betere werkverdeling tussen mens en AI.

Co-creating Trust: Building a Pipeline for Civic AI Risk Identification

Public trust in AI systems has been seriously affected by a number of scandals where the use of AI led to biased, harmful and inaccurate

Wie is de trol? Kruip in de huid van de moderator en verbeter het trollenjageralgoritme.

Iedereen moet zich voorbereiden op een steeds digitalere toekomst.

Artificiële Intelligentie op reis: vier koffers voor wetenschappelijke ontdekking op speelse wijze

Als het om kunstmatige intelligentie (AI) gaat zijn er nieuwe ontwikkelingen, mogelijkheden, maar ook angsten rondom.

De AI Samenleving: Gesprekken over de Impact van Kunstmatige Intelligentie

Het voorgestelde project komt voort uit de dringende behoefte om het brede publiek bewust te maken van de impact van kunstmatige intellig

InDeep: Interpreting Deep Learning Models for Text and Sound

The combination of Deep Learning and Big Data has revolutionized language and speech technology in the last five years, and constitutes t

Low Resource Chat-based Conversational Intelligence

Access to information is increasingly conversational in nature.

HAICu: digital Humanities - Artificial Intelligence - Cultural heritage

In the twenty-first century, information comes from an ever-growing multitude of digital sources, challenging citizens and institutions t

DECIDE: Democratizing AI – Empowering Citizens through Transparent Decision-making

Many citizens experience the rapid development of artificial intelligence (AI) as a process beyond their control, contributing to feeling

We cover these questions

Welke vragen hopen we met dit project te beantwoorden? Deze vragen zijn gegroepeerd in de volgende clustervragen.