In this paper, we elaborate on how AI can support diversity and inclusion and exemplify research projects conducted in that direction. We start by looking at the challenges and progress in making large language models (LLMs) more transparent, inclusive, and aware of social biases. Even though LLMs like ChatGPT have impressive abilities, they struggle to understand different cultural contexts and engage in meaningful, human like conversations. A key issue is that biases in language processing, especially in machine translation, can reinforce inequality. Tackling these biases requires a multidisciplinary approach to ensure AI promotes diversity, fairness, and inclusion. We also highlight AI's role in identifying biased content in media, which is important for improving representation. By detecting unequal portrayals of social groups, AI can help challenge stereotypes and create more inclusive technologies. Transparent AI algorithms, which clearly explain their decisions, are essential for building trust and reducing bias in AI systems. We also stress AI systems need diverse and inclusive training data. Projects like the Child Growth Monitor show how using a wide range of data can help address real world problems like malnutrition and poverty. We present a project that demonstrates how AI can be applied to monitor the role of search engines in spreading disinformation about the LGBTQ+ community. Moreover, we discuss the SignON project as an example of how technology can bridge communication gaps between hearing and deaf people, emphasizing the importance of collaboration and mutual trust in developing inclusive AI. Overall, with this paper, we advocate for AI systems that are not only effective but also socially responsible, promoting fair and inclusive interactions between humans and machines.

When it comes to writing a dating profile, it may seem hard to stand out from the crowd. But experts have worked out the best way to come across as more attractive – by getting creative with your words. Researchers asked users of online dating sites to rate dating profiles, and found that those who used metaphors and more concrete information were rated as more attractive, intelligent and funny. For example, the team suggests that instead of writing'I am a very good cook', you could use a metaphor and write'I am a star in the kitchen.' Alternatively, you could jazz up'Food is essential for me' by writing'Coffee and a cracker with cheese or jam are essential in my morning ritual'.

TILT invites applications for an Assistant Professorship in the field of'Fundamental Rights and Artificial Intelligence'. The candidate will work within an interdisciplinary team of international researchers on the interactions between fundamental rights and Artificial Intelligence. The position involves both research and teaching, with the opportunity to develop and work on research projects; such research projects can relate to fundamental rights, and in particular privacy, data protection, non-discrimination, freedom of expression, and the interplay with new technologies, electronic communications, and Artificial Intelligence. Job Description TILT has a vacancy for an Assistant Professor (UD) who can make a vital contribution to both education and research in the field of Fundamental Rights and Artificial Intelligence (AI). The research of the candidate shall be linked to the TILT Signature Plan: Regulating Socio-Technical Change.

Tilburg University believes that academic excellence is achieved through the combination of outstanding research and education, in which social impact is made by sharing knowledge. In doing so, we recognize that excellence is not only achieved through individual performance, but mostly through team effort in which each team member acts as a leader connecting people. The successful candidate may be asked to perform other duties occasionally which are not included above, but which will be consistent with the role of Postdoc. The postdoctoral researcher will work on the Megamind project (Researchers pair artificial intelligence with regulatory reform to accelerate energy transition - MegaMind). MegaMind focuses on the so-called edges of the electricity system: the distribution networks and the electricity producing and consuming devices connected to them.

The rumours that AI (and ML) will revolutionise healthcare have been around for a while [1]. And yes, we have seen some amazing uses of AI in healthcare [see, e.g., 2,3]. But, in my personal experience, the majority of the models trained in healthcare never make it to practice. Let's see why (or, scroll down and see how we solve it). Note: The statement "the majority of the models trained in … never make it to practice" is probably true across disciplines. Healthcare happens to be the one I am sure about.

In previous research we concluded that a personality profile, based on the Five Factor Model, can be constructed from observations of a player’s behavior in a module that we designed for Neverwinter Nights (Lankveld et al. 2011a). In the present research, we investigate whether we can do the same thing in an actual modern commercial video game, in this case the game Fallout 3. We stored automatic observations on 36 participants who played the introductory stages of Fallout 3. We then correlated these observations with the participants’ personality profiles, expressed by values for five personality traits as measured by the standard NEO-FFI questionnaire. Our analysis shows correlations between all five personality traits and the game observations. These results validate and generalize the results from our previous research (Lankveld et al. 2011a). We may conclude that Fallout 3, and by extension other modern video games, allows players to express their personality, and can therefore be used to create personality profiles.