AI Cannot Read Your Mind

AI Cannot Read Your Mind Authors: Visar Berisha and Pavan Turaga (Arizona State University) Can AI read your mind? That is the question on many minds these days. A recent study to be published at the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2023 has been cited in popular media as evidence […]

Defining the scope of AI regulations

Jonas Schuett has published a paper titled “Defining the scope of AI regulations” in the journal of Law, Innovation & Technology. According to Jonas, “The paper argues that the material scope of AI regulations should not rely on the term “artificial intelligence”, mainly because existing AI definitions don’t meet the requirements for legal definitions (e.g. […]

KU Leuven AI Summer School: AI and Interdisciplinary

Victoria Hendrickx and Nathalia Smuha write an article on the push towards interdisciplinary in AI. “Interdisciplinary research is becoming increasingly popular, especially in the domain of artificial intelligence (AI) where it is difficult to fathom societal opportunities and risks without considering insights from various disciplines. However, taking an interdisciplinary approach also comes with several challenges, […]

Nine Cities Set Standards for Transparent use of AI

Nine cities, cooperating through the Eurocities network, have developed a free to use open-source ‘data schema’ for algorithm registers in cities. The data schema, which sets common guidelines on the information to be collected on algorithms and their use by a city, supports the responsible use of AI and puts people at the heart of […]

The Reproducibility Issues that are Haunting Health-Care AI

This technology feature published in Nature by Emily Sohn discusses how despite the rolling out of numerous AI tools for diagnosis and monitoring, their reliability is questionable. To read the full article, please click on this link.