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The probable future of toxicology - probabilistic risk assessment

Alexandra Maertens (Onderzoeker); Eric Antignac (Onderzoeker); Emilio Benfenati (Onderzoeker); Denise Bloch (Onderzoeker); Ellen Fritsche (Onderzoeker); Sebastian Hoffmann (Onderzoeker); Joanna Jaworska (Onderzoeker); George Loizou (Onderzoeker); Kevin McNally (Onderzoeker); Przemyslaw Piechota (Onderzoeker); Edwin Roggen (Onderzoeker); Marc Teunis (Onderzoeker); Thomas Hartung (Onderzoeker)

Both because of the shortcomings of existing risk assessment methodologies, as well as newly available tools to predict hazard and risk with machine learning approaches, there has been an emerging emphasis on probabilistic risk assessment. Increasingly sophisticated AI models can be applied to a plethora …

2024GezondheidArtikel

Inclusive Dialogues: WokeBot Engaging Diversity Dilemmas

Mirjam de Haas (Onderzoeker); Veerle Hobbelink (Onderzoeker); Matthijs Smakman (Onderzoeker)

In today's world, understanding different viewpoints is key for societal cohesion and progress. Robots have the potential to provide aid in discussing tough topics like ethnicity and gender. However, comparably to humans, the appearance of a robot can trigger inherent prejudices. This study delves into …

2024GezondheidConferentiebijdrage

Is AI 'just' a new technology? On integrating AI education in digital design curricula

Koen van Turnhout (Onderzoeker); Shakila Shayan (Onderzoeker); Aletta Smits (Onderzoeker)

Design schools in digital media and interaction design face the challenge of integrating recent artificial intelligence (AI) advancements into their curriculum. To address this, curricula must teach students to design both "with" and "for" AI. This paper addresses how designing for AI differs from designing …

2024ICT & MediaConferentiebijdrage

Rage against the artificial intelligence?

Tessa Oomen (Onderzoeker); João Gonçalves (Onderzoeker); Anouk Mols (Onderzoeker)

People tend to be hesitant toward algorithmic tools, and this aversion potentially affects how innovations in artificial intelligence (AI) are effectively implemented. Explanatory mechanisms for aversion are based on individual or structural issues but often lack reflection on real-world contexts. Our …

2024ICT & MediaArtikel