Are we defenseless against AI, deepfake, and the rapid spread of disinformation? Join the first episode in our podcast series part of the Jean Monnet Chair EU-ACT DIGITAL, an initiative spotlighting EU digital policy. Our very first guest, Member of European Parliament Bart Groothuis (part of the Committee on Industry, Research and Energy), provides his expert insights on the state of digitalisation in the EU while being interviewed by European Impact’s Paul Schuchhard and European Studies students Francisco van Ruijven and Joana Pereira Grilo from The Hague University of Applied Sciences. Visit https://eu-act.digital/ to find out more about the Jean Monnet Chair EU-ACT DIGITAL.
MULTIFILE
Gemeenten hebben maatschappelijke taken en verantwoordelijkheden, speciaal de zorg voor openbare orde en veiligheid. De samenleving digitaliseert en dus doen gemeenten nu hun werk in een digitaliserende samenleving. Daarop moeten zij zich instellen. Gemeenten zijn sinds ongeveer 2013 bezig met een inhaalslag op dit vlak. De eerste fase in zo’n proces is bewustwording. Inmiddels hebben gemeenten vooral door online aangejaagde ordeverstoringen gezien welke rol de online wereld reeds speelt in openbare orde en veiligheid − én dat dit om aanpassingen vraagt. Gemeenten moeten hun typische gemeentetaken, dus hun werk aan openbare orde en veiligheid, nu doen in een digitale context. Daarover gaat dit essay. Meer in het bijzonder gaat het over een specifieke stap in deze ontwikkeling: een handelingskader dat ‘digibewuste’ gemeenten kunnen gebruiken bij het ontwikkelen van concrete werkwijzen.
DOCUMENT
We present a novel architecture for an AI system that allows a priori knowledge to combine with deep learning. In traditional neural networks, all available data is pooled at the input layer. Our alternative neural network is constructed so that partial representations (invariants) are learned in the intermediate layers, which can then be combined with a priori knowledge or with other predictive analyses of the same data. This leads to smaller training datasets due to more efficient learning. In addition, because this architecture allows inclusion of a priori knowledge and interpretable predictive models, the interpretability of the entire system increases while the data can still be used in a black box neural network. Our system makes use of networks of neurons rather than single neurons to enable the representation of approximations (invariants) of the output.
LINK
Leerlingen groeien op in een wereld die permanent online is. Ze hebben toegang tot een grote hoeveelheid informatie en ze zijn constant online in interactie. Het onderwijs kan leerlingen opleiden tot mediawijze burgers.
LINK
Deze rede gaat over het verrichte werk en de eerste vervolgplannen van het NHL Stenden Thorbecke Academie lectoraat ‘Bestuur in een Digitaliserende Samenleving’. Dit lectoraat werkt actief samen en vormt samen met het lectoraat ‘digitale weerbaarheid van mens en organisatie’ en de cross-over ‘digital citizenship’ de onderzoeksgroep Cybersafety.
DOCUMENT
![Bestuurlijk koorddansen in een digitaliserende samenleving [inaugurele rede]](https://publinova-harvester-content-prod.s3.amazonaws.com/thumbnails/files/previews/pdf/20250506135031692598.ijk20koorddansen20in20een20digitaliserende20samenleving-thumbnail-400x300.png)
More people voted in 2024 than any other year in human history, while often relying on the internet for political information. This combination resulted in critical challenges for democracy. To address these concerns, we designed an exhibition that applied interactive experiences to help visitors understand the impact of digitization on democracy. This late-breaking work addresses the research questions: 1) What do participants, exposed to playful interventions, think about these topics? and 2) How do people estimate their skills and knowledge about countering misinformation? We collected data in 5 countries through showcases held within weeks of relevant 2024 elections. During visits, participants completed a survey detailing their experiences and emotional responses. Participants expressed high levels of self-confidence regarding the detection of misinformation and spotting AI-generated content. This paper contributes to addressing digital literacy needs by fostering engaging interactions with AI and politically relevant issues surrounding campaigning and misinformation.
MULTIFILE
In Intellectual Output 1 of the SMILES project, researchers from Belgium (Flanders), Netherlands and Spain conducted desk research to describe the current developments for each country around disinformation, particularly those related to the Covid-19 pandemic. In part 2 of the research, they identified training initiatives, courses and media literacy training tools for each country that are specifically focused on the combat against or promotion of resistance to existing disinformation. Each identified activity or tool was characterised by a fixed set of characteristics (appendix 1). In the second stage of this research, some experts for each country were interviewed. Among other things, they were asked for recommendations and tips for interventions that will be developed in Intellectual Output 2 of the SMILES project. All research results were reported in separate country reports. This joint report lists the highlights of the separate country reports. It will end with recommendations for the interventions to be developed in Intellectual Output 2.
MULTIFILE
The report from Inholland University is dedicated to the impacts of data-driven practices on non-journalistic media production and creative industries. It explores trends, showcases advancements, and highlights opportunities and threats in this dynamic landscape. Examining various stakeholders' perspectives provides actionable insights for navigating challenges and leveraging opportunities. Through curated showcases and analyses, the report underscores the transformative potential of data-driven work while addressing concerns such as copyright issues and AI's role in replacing human artists. The findings culminate in a comprehensive overview that guides informed decision-making in the creative industry.
MULTIFILE
The purpose of this literature study is to obtain information about educational approaches to teaching 11 to 12 years old children focusing on how to distinguish between real news and fake news. With this purpose we studied 16 academic papers about learning activities to make primary school children media-literate and able to recognise fake news. What we found is that having children create their own news messages seems to be the most effective approach. News messages that they create can be text messages as well as videos, audios, pictures and animations. Based on this conclusion, students from The Hague University of Applied Sciences Teacher Training Institute (PABO) have been asked to develop a set of learning materials that can be used for instruction in primary schools. The effectiveness of those materials is currently being tested at an elementary school in Rijswijk. The results of the literature and the field study will be shared in the Dutch centre of expertise for media literacy education, Mediawijzer.net.
MULTIFILE
