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In its new policy, The Amsterdam Vision on AI , the city outlines how artificial intelligence (AI) should be integrated into urban life and how it should influence the city according to its residents. This vision was developed through months of conversations and dialogues with a wide range of Amsterdammers—from festival-goers to schoolchildren, experts to novices—who shared their thoughts on the future role of AI in Amsterdam.

ICAI's interview appeared this time with Gianluigi Bardelloni and Eric Postma, they talk about the developments in their ICAI Lab.

The University of Amsterdam has launched a new project through its Teaching & Learning Centre Science, exploring how Generative AI, like ChatGPT, can enhance academic education. This pilot program at the Faculty of Science tests and evaluates various applications of GenAI in higher education.

The rise of Generative Artificial Intelligence (GenAI) has a significant impact on academic education. That’s why the Teaching & Learning Centre Science launched a project integrating GenAI, specifically ChatGPT, into the teaching process.

The Amsterdam Economic Board’s website recently published an article about the Zorg2025 meeting, where experts discussed AI's role in healthcare, its potential, and the ethical challenges it brings to the field.

This article, sourced from ai4dem.nl, covers insights shared by Professor Natali Helberger and Dr. Hannes Cools during the Digital Growth Summit in Brussels, organized by Twipe. The summit focused on the impact of Generative AI on the news industry. Helberger and Cools share three key lessons from the Future Scenario Writing Workshop, which explored the future landscape of the news sector.

At the University of Applied Sciences Amsterdam's new Smart Health and Vitality Lab, students practice healthcare skills in a fully virtual environment.

Google has made its watermark tool SynthID, designed to identify AI-generated content, freely available to developers and businesses. Developed by DeepMind, this tool embeds digital watermarks into text, audio, images, and videos without affecting the quality or user experience of the content.

As AI becomes more common in various sectors, the question arises: how effective is human-machine collaboration? MIT researchers conclude that in some cases, humans and AI perform worse together than separately. However, they see potential when task division is clear.