KIN speaking out

An NRC article discusses, among other things, insights from research conducted by Jana Retkowsky, Ella Hafermalz, and Marleen Huysman AI@Work research group) at RTL Nederland. The media company opened the doors of its creative department to the researchers, where advertising creatives and graphic designers develop campaigns and promotional material for programmes, streaming platforms, and brands.

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Het Financieele Dagblad published an article about period tracking apps, focusing on their business models, promises, and potential risks. The article shares insights from Maria Carmen Punzi and Tamara Thuis (AI@Work research group) about their research project on the ethics of period and fertility tracking apps.

In the interview, Punzi and Thuis highlighted several risks to consider when using these apps, including the societal biases that algorithms may reinforce rather than challenge, predictions and recommendations that are difficult to interpret and not always accurate, and the possibility that users develop a false sense of autonomy.

They also emphasise the importance of algorithmic and body literacy in enabling users to make informed decisions. At the same time, companies need to ask themselves critical questions about how to conduct their business ethically — in a way that genuinely benefits users, rather than primarily serving investors.

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How do the innovations that should help solve our biggest societal challenges actually come about?
New technology alone is not enough. In an interview with Technisch Weekblad, Philipp Tuertscher explains why real breakthroughs ultimately remain human work — and why collaboration, user insight, and even productive disagreement are at the heart of successful innovation. From design thinking in horticulture to the collaborative structures at CERN and the lessons from the ecosystem behind Philips Hue: what makes innovation succeed where technology alone falls short?

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Are people relying on chatbots to solve all their life problems entering a slippery slope? Ella Hafermalz (AI@Work research group) discuss this question with a journalist from The Guardian. Ella discusses the growing reliance on ChatGPT and its implications for our workplaces and personal lives. She suggests that it is essential for leaders to encourage honest and open conversations about AI use in the workplace. If this doesn’t happen, workplace norms and practices won’t keep up.

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Many organizations fail to recognize the growing complexity within their information systems and face persistent challenges in managing it effectively. Even with system integrations or enterprise architecture initiatives, outcomes frequently fall short of expectations. This is highlighted in the doctoral thesis of Erik Jochemsen, Head of Development Services at ABN AMRO. His research struck a chord: the Dutch ICT news platform Computable.nl highlighted the work in the article Spaghetti-IT Leads to Shifting Complexity, sparking a lively debate among IT specialists, managers, and decision-makers

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In an interview with Metro, researchers Maria Carmen Punzi and Tamara Thuis (AI@Work research group) discussed both the promises and the risks of these apps, including ethical concerns, the handling of sensitive personal data, and the implications of using AI-powered apps for symptom tracking, contraception, and conception.

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What are bodily data, how are they different from data more broadly, and what should organizations be doing with them? Lorna Downie (AI@Work research group) offers a fascinating insight into bodies, data, and work in the world of elite sport and outlines the implications of her observations for organizations and data researchers.

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The Netherlands faces an impending healthcare crisis, with projections suggesting that a quarter of its workforce will be working in healthcare by 2040. Fleur Deken discusses how innovation in healthcare can mitigate these challenges, along with the hurdles encountered during implementation, in Het Financieele Dagblad.

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Is AI a helpful genie — or one that grants wishes a little too easily… and always at a price? 

Ella Hafermalz discusses (AI@Work research group) joined the BBC AI Decoded podcast to discuss her research with Jana Retkowsky and Marleen Huysman on how colleagues turn to ChatGPT instead of one another. Their research shows how generative AI can act as a ‘spirited technology’, nudging us to overestimate what we can do alone, while overlooking the expertise around us. The risk? That the “magic” makes collaboration will colleagues feel optional rather than essential. So the real question isn’t whether AI makes humans useless… but whether our wish for speed and autonomy comes at the cost of learning from one another

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Ella Hafermalz (AI@Work research group) joined a webinar hosted by the Publications Office of the European Union, together with Thomas Lampert (University of Strasbourg), to discuss how emerging technologies are reshaping research practices, scientific integrity, and public trust.

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What does hybrid work mean in an academic setting? Ella Hafermalz (AI@Work research group) joined Jan Recker and Nick Berente on their podcast to discuss what hybrid work looks like at universities. Researchers need flexibility and freedom, but they also play a key role in building community—being present for teaching, interacting with students, collaborating with colleagues, and sometimes even bringing their families into campus life.

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Since the arrival of ChatGPT, there has been a lot of discussion about generative AI and how it will change the way we work. In an episode of the Hete Hangijzers podcast, Marleen Huysman (AI@Work research group) and Kim Schildkamp discuss their experiences with generative AI in education and their research. They share inspiring examples of how generative AI can be used effectively, while also exploring potential challenges, including the erosion of knowledge, reduced social interaction, and job displacement.

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When work processes and imposed technology don’t align, so-called “misfits” can emerge—sometimes so significant that users start looking for workarounds, either within the technology or outside it.

In the new episode of the KNVI podcast, Bart van den Hooff takes listeners through his research on the introduction of an Electronic Patient Record in two Dutch hospitals, in a conversation with Marijn Plomp and Sandra de Waart.

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A new agreement, the EU AI Act, aims to steer the rise of artificial intelligence in Europe in the right direction. Frans Feldberg discusses this in the Radio 1 podcast Vroeg!. “Europe wants to position itself on responsible AI,” he says. “Artificial intelligence has become so commonplace that it doesn’t even stand out anymore. Machine learning is already everywhere: in your phone, on Google, and in the bottle return machine at the supermarket.”

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How do we remain relevant in a world where not only big tech companies but also startups develop data-driven products and services that challenge the existence of many organizations? Frans Feldberg discussed these challenges in De Dataloog, the Dutch podcast focusing on big data, data science, machine learning, and data-driven transformation. In the conversation, Frans explored the influence of developments such as digital innovation, (big) data, and (generative) artificial intelligence. He addressed key questions, including why data and AI should be top management priorities for every organization, how to respond to challenges related to data and AI, and what lies ahead.

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Generative AI tools are profoundly changing creative work. That is one of the main conclusions from research by organisational scientists Ella Hafermalz, Marleen Huysman and Jana Retkowsky. In a new publication, they show how AI accelerates and enriches the creative process while at the same time putting it under pressure.

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FemTech has become an indispensable part of the everyday lives of millions of women. But how safe, accurate, and fair are these AI-driven tools? And who bears responsibility when things go wrong? Researchers Tamara Thuis and Maria Carmen Punzi, supported by SIDN Fonds, explore the ethical implications of FemTech and how algorithms in fertility apps can be designed and used responsibly.

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Track your steps, sleep better, reduce stress — wearables and health apps promise it all. Companies offer these tools, hoping for healthier, more productive teams. But can a Fitbit fix burnout? Without the right support from managers to address work-related issues, employees often struggle to make the most of these tools.

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Platform ecosystems are becoming increasingly important in today’s business landscape. How can platform firms or tool developers influence market power? How can regulations prevent potential harm to consumers? JJoey van Angeren, Milan Miric, and Hakan Özalp discuss these questions in their paper, published in the Academy of Management Perspectives journal.

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How do organizations collaborate on large-scale projects, when their goals differ? Jochem Hummel, Hans Berends, and Philipp Tuertscher explore this in their blog post.

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Micro-task crowdsourcing platforms (MTCS), such as Amazon Mechanical Turk and Clickworker, provide a crucial alternative for individuals who face exclusion from traditional employment due to personal challenges, such as chronic mental or physical health issues. According to a study by organisational scholar Anne-Sophie Mayer, these platforms offer marginalised workers more than just income.

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The exhibition Perspectives on Hybrid explores a nuanced ‘lived experience’ perspective on hybrid working by presenting glimpses into where and how work happens in a hybrid context.

The exhibition comprises 14 photos taken by employees and the research team, featuring offices, homes, and other spaces connected through different devices. Perspectives on Hybrid is based on a two-year qualitative study conducted by researchers from KIN and funded by the VU through the Hybrid Working Initiative. The project involved interviews and observations with employees from different faculties, including academic and support staff. Additionally, the researchers adopted an innovative data collection strategy, engaging participants in dynamic conversations about the different elements captured in the pictures they took.

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How can firms transform carbon-intensive industry structures to tackle climate change? What hinders them from scaling low-carbon innovation ecosystems? A recently published research article provides new insights into these questions.

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As we speak, the hype around new AI trends is insatiable, and the use of AI-based applications is expanding across almost every industry and segment of society. Generative AI has seen significant advancements since 2022, for example in the field of text-to-image generation. Tools such as DALL·E 2, Stable Diffusion, and Midjourney have attracted considerable attention for their ability to transform human language into images, sparking debate in the artistic world. These tools offer a new way to create art “on command” without necessarily requiring a human artist in the traditional sense.

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