Artificial Intelligence (AI) is transforming workflows across various industries, including life sciences. When deployed securely, generative AI tools can automate structured programming tasks. In clinical research, a significant challenge is converting raw trial data into the formats required for regulatory …

Tijdens de SBMF Talks werd ik geinterviewd door de directeur van het instituut over de juridische en ethische aspecten van (Gen)AI binnen het onderwijs.

De retailsector staat voor grote uitdagingen én kansen. Nieuwe technologieën, veranderend consumentengedrag, verduurzaming, veiligheid en arbeidsmarkt krapte zetten ondernemers en beleidsmakers onder druk. Tegelijkertijd groeit de behoefte aan innovatie en betrouwbare kennis die niet op de plank belandt, …

This presentation explores AI literacy as a critical and situated dimension of Artistic Research (AR), drawing from recent investigation conducted with Master’s students in a discursive artistic AI course at Frank Mohr Institute. Using a structured questionnaire as both a pedagogical and research tool, …

Veel docenten in het vervolgonderwijs worstelen met het massale gebruik van ChatGPT door studenten. In het experiment Slimmer leren met AI gingen vier docenten van economische opleidingen op zoek naar hoe AI juist een waardevolle plek kan krijgen in het onderwijs.Vanuit drie perspectieven – het werkveld, …

Two modern trends in insurance are data-intensive underwriting and behaviour-based insurance. Data-intensive underwriting means that insurers analyse more data for estimating the claim cost of a consumer and for determining the premium based on that estimation. Insurers also offer behaviour-based insurance. …

The world is changing fast, and technology is becoming smarter and more intelligent. As Artificial Intelligence dominates the conversation — with Quantum Computing, Synthetic Data, and Organoid Intelligence on the horizon — designers face an urgent question: Are we heading toward Utopian or Dystopian …

Ethical tools are frequently proposed as a means to promote the design and implementation of responsible Artificial Intelligence (AI). Yet many organizations designing and deploying AI make only limited use of ethical tools. This study explores the application of ethical tools for responsible AI in the …

AI-driven lifestyle monitoring systems collect data from ambient, motion, contact, light, and physiological sensors placed in the home, enabling AI algorithms to identify daily routines and detect deviations to support older adults "aging in place." Despite its potential to support several challenges …