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 …

This report presents the design, implementation, and evaluation of a content-based recommender system for NEMO Kennislink, developed within the AI, Media and Democracy Lab (AIMD). The project investigates whether algorithmic recommendations can stimulate article discovery on a public science platform …

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 …

We present our ongoing work on upgrading the Amsterdam Public Library's book database search capabilities. So far, users have had to input the exact book title and/or author name without any typos or misspellings in order to retrieve any results. This is in sharp contrast with the manner in which users …

The study evaluated two speech recognition systems, Wav2vec2 and Whisper, for potential biases for Dutch speakers.Results obtained by evaluating on the JASMIN corpus revealed biases against non-native speakers, children, and the elderly,with (slightly) better performance for women. The study emphasizes …

Artificial Intelligence (AI) is increasingly shaping the way we work, live, and interact, leading to significant developments across various sectors of industry, including media, finance, business services, retail and education. In recent years, numerous high-level principles and guidelines for ‘responsible’ …

With the proliferation of misinformation on the web, automatic methods for detecting misinformation are becoming an increasingly important subject of study. If automatic misinformation detection is applied in a real-world setting, it is necessary to validate the methods being used. Large language models …

It is crucial that ASR systems can handle the wide range of variations in speech of speakers from different demographic groups, with different speaking styles, and of speakers with (dis)abilities. A potential quality-of-service harm arises when ASR systems do not perform equally well for everyone. ASR …