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Salim Salmi, a mathematician from the Centrum Wiskunde & Informatica, developed an AI tool to assist counselors at 113 Zelfmoordpreventie in their chat conversations with individuals at risk of suicide. The tool analyzes chat interactions and suggests ways to guide the conversation, based on successful past cases.

The University of Amsterdam (UvA) has secured a five-year investment to drive research at the intersection of artificial intelligence (AI) and accountancy. This structural funding will enable the UvA to delve deeper into both AI applications in auditing and the critical task of auditing AI systems themselves.

Detecting violence in large crowds through surveillance footage? It's possible with artificial intelligence (AI). But before implementing such technology, it is crucial to carefully consider the ethical implications. AI researcher Emmeke Veltmeijer concludes that it’s more important than ever to develop ethically responsible models and maintain an ongoing conversation about them.

An increasing number of executives from large Dutch companies are expressing concerns that artificial intelligence (AI) will lead to job displacement. This is one of the key findings from the annual CEO survey by ING, which involved 263 major Dutch businesses.

On December 12, 2024, we celebrated the winners of the Amsterdam AI Thesis Award 2024 during our Amsterdam AI Highlights Event. The event brought together top researchers and AI professionals to honor the thesis work of the students!

Andy Pimentel, professor of Parallel Computing Systems at the University of Amsterdam’s Informatics Institute, is tackling two pressing challenges in computing: speed and sustainability. As innovations in AI and data analytics drive demand for faster systems, the environmental impact of energy consumption has become a critical issue.

We are thrilled to be part of organizing the regional preliminaries for the Zorginnovatieprijs 2025, a prestigious award for AI scale-up companies in healthcare innovation.

A key focus for Amsterdam UMC is the collection, storage, and sharing of reliable data, as quality data is essential for effective AI applications. In addition to internal efforts, Amsterdam UMC collaborates with regional partners to improve data quality and promote innovation.   The applications of AI at Amsterdam UMC are diverse. For instance, a blood culture model can predict whether blood sampling is necessary in the emergency department, helping to prevent unnecessary treatments. In cardiology, an AI model identifies subtle abnormalities in heart scans (ECGs) that may indicate heart issues, guiding decisions about further testing, such as MRIs.   To ensure patient data confidentiality, Amsterdam UMC has developed a secure AI sandbox . This environment provides a safe alternative to public platforms like ChatGPT, allowing for the development of AI tools while protecting sensitive data.These initiatives showcase how AI is transforming healthcare processes. Amsterdam UMC also invests in training its staff to utilize data and AI effectively in their daily work.   Discover more about these groundbreaking advancements and watch the video here with examples.  

Featuring presentations by Floris Kreiken and Hans de Zwart