Project objectives Radicalisation research leads to ethical and legal questions and issues. These issues need to be addressed in way that helps the project progress in ethically and legally acceptable manner. Description of Work The legal analysis in SAFIRE addressed questions such as which behavior associated with radicalisation is criminal behaviour. The ethical issues were addressed throughout the project in close cooperation between the ethicists and the researchers using a method called ethical parallel research. Results A legal analysis was made about criminal law and radicalisation. During the project lively discussions were held in the research team about ethical issues. An ethical justification for interventions in radicalisation processes has been written. With regard to research ethics: An indirect informed consent procedure for interviews with (former) radicals has been designed. Practical guidelines to prevent obtaining information that could lead to indirect identification of respondents were developed.
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This document presents the findings of a study into methods that can help counterterrorism professionals make decisions about ethical problems. The study was commissioned by the Research and Documentation Centre (Wetenschappelijk Onderzoeken Documentatiecentrum, WODC) of the Dutch Ministry of Security and Justice (Ministerie van Veiligheid en Justitie), on behalf of the National Coordinator for Counterterrorism and Security (Nationaal Coördinator Terrorismebestrijding en Veiligheid,NCTV). The research team at RAND Europe was complemented by applied ethics expert Anke van Gorp from the Research Centre for Social Innovation (Kenniscentrum Sociale Innovatie) at Hogeschool Utrecht. The study provides an inventory of methods to support ethical decision-making in counterterrorism, drawing on the experience of other public sectors – healthcare, social work, policing and intelligence – and multiple countries, primarily the Netherlands and the United Kingdom
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Abstract for World Physiotherapy Congress 2021Title Ethical Considerations of Using Machine Learning for Decision Support in Occupational Physical Therapy: a narrative literature study and ethical deliberation. Authors Marianne W. M. C. Six Dijkstra1,4,7 · Egbert Siebrand2 · Steven Dorrestijn2 · Etto L. Salomons3 ·Michiel F. Reneman4 · Frits G. J. Oosterveld1 · Remko Soer1,5 · Douglas P. Gross6 · Hendrik J. Bieleman1 Presenter and contactName: Marianne W. M. C. Six DijkstraEmail: w.m.c.sixdijkstra@saxion.nlAdres: School of Health, Saxion University of Applied Sciences/AGZ, M.H. Tromplaan 28, 7500 KB, Enschede, The NetherlandsTel: +31(0)612379329 1 School of Health, Saxion University of AppliedSciences, Enschede, The Netherlands2 Research Group Ethics & Technology, Saxion Universityof Applied Sciences, Enschede, The Netherlands3 School of Ambient Intelligence, Saxion Universityof Applied Sciences, Enschede, The Netherlands4 Department of Rehabilitation Medicine, University MedicalCenter Groningen, University of Groningen, Groningen,The Netherlands5 University Medical Center Groningen, Pain Centre,University of Groningen, Groningen, The Netherlands6 Department of Physical Therapy, University of Alberta,Edmonton, Canada7 University of Groningen, Groningen, The Netherlands Funding This study was funded by Netherlands Organisation for Scientific Research (NWO) (023.011.076) and Saxion University of Applied Sciences in The Netherlands. The funding source had no involvementin study design, data collection, analysis or interpretation, in the writing of the report, or the decision to submit the article for publication.Ethical approvalThis study is part of a PhD project entitled “Development of a Decision Support System – Artificial Intelligence advices for Sustainable Employability”. The Ethics Board at the University Medical Center Groningen in The Netherlands decided that formal approval of the study was not necessary because all workers were subjected to care as usual only.AbstractBackground Computer algorithms and Machine Learning (ML) will be integrated into clinical decision support within physical therapy. This will change the interaction between therapists and their clients, with unknown consequences.Purpose The aim of this study was to explore ethical considerations and potential consequences of using ML based decision support tools (DSTs). We used an example in the context of occupational physical therapy.Methods We conducted an ethical deliberation. This was supported by a narrative literature review of publications about ML and DSTs in occupational health and by an assessment of the potential impact of ML-DSTs according to frameworks from medical ethics and philosophy of technology. We introduce a hypothetical clinical scenario in occupational physical therapy to reflect on biomedical ethical principles: respect for autonomy, beneficence, non-maleficence and justice. The reflection was guided by the Product Impact Tool.
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Youth care is under increasing pressure, with rising demand, longer waiting lists, and growing staff shortages. In the Netherlands, one in seven children and adolescents is currently receiving youth care. At the same time, professionals face high workloads, burnout risks, and significant administrative burdens. This combination threatens both the accessibility and quality of care, leading to escalating problems for young people and families. Artificial intelligence (AI) offers promising opportunities to relieve these pressures by supporting professionals in their daily work. However, many AI initiatives in youth care fail to move beyond pilot stages, due to barriers such as lack of user acceptance, ethical concerns, limited professional ownership, and insufficient integration into daily practice. Empirical research on how AI can be responsibly and sustainably embedded in youth care is still scarce. This PD project aims to develop practice-based insights and strategies that strengthen the acceptance and long-term adoption of AI in youth care, in ways that support professional practice and contribute to appropriate care. The focus lies not on the technology itself, but on how professionals can work with AI within complex, high-pressure contexts. The research follows a cyclical, participatory approach, combining three complementary implementation frameworks: the Implementation Guide (Kaptein), the CFIR model (Damschroder), and the NASSS-CAT framework (Greenhalgh). Three case studies serve as core learning environments: (1) a speech-to-text AI tool to support clinical documentation, (2) Microsoft Copilot 365 for organization-wide adoption in support teams, and (3) an AI chatbot for parents in high-conflict divorces. Throughout the project, professionals, clients, ethical experts, and organizational stakeholders collaborate to explore the practical, ethical, and organizational conditions under which AI can responsibly strengthen youth care services.
Entangled Machines is a project by Mariana Fernández Mora that interrogates the colonial and extractive legacies underpinning artificial intelligence (AI). By introducing slowness and digital kinship as critical frameworks, the project reconceptualises AI as embedded within intricate social and ecological networks, thereby contesting dominant narratives of efficiency and optimisation. Through participatory, practice-based methodologies such as the Material Playground, the project integrates feminist and non-Western epistemologies to articulate alternative models for ethical, sustainable, and equitable AI practices. Over a four-year period, Entangled Machines develops theory, engages diverse communities, and produces artistic outputs to reimagine human-AI interactions. In collaboration with partners including ARIAS Amsterdam, Archival Consciousness, and the Sandberg Institute, the research seeks to foster decolonial and interdisciplinary approaches to AI. Its culmination will be an “Anarchive” – a curated assemblage of artistic, theoretical, and archival outputs – that serves as a resource for rethinking AI’s socio-political and ecological impacts.
The Hospitality, Tourism, Innovation & Technology Experts Network (HTIT-EN) is a pivotal initiative aimed at unlocking societal impact potential. The Dutch hospitality and tourism sector, which employs over half a million individuals and annually hosts more than 40 million guests, ranks as the Netherlands’ 8th largest economic sector. However, this sector faces numerous challenges, including the uncertain impact of emerging technologies and issues such as unethical behavior, workforce attrition, and staff shortages, which have been exacerbated by the COVID-19 pandemic. The advent of emerging technologies like service robots, immersive experiences, and artificial intelligence has brought the sector to a critical juncture. These innovations pose significant disruptions, challenging the traditional concept of hospitality and questioning the positive societal impact in terms of ethical considerations, inclusivity, affordability, and data privacy.Strategically positioned to address these challenges, HTIT-EN focuses on leveraging emerging technologies to create impactful scenarios and shape the future of hospitality and tourism. Our motivation stems from the sector’s societal importance and its continuous influence on our daily lives. By harnessing technology and innovation, we aim to tackle industry-specific issues and extend the positive societal impact to related human-centered service industries.The overarching mission of HTIT-EN is to empower the Dutch Hospitality and Tourism sector to serve as a driving force for technology-enabled societal impact. The primary objective is to align research activities and promote collaboration. Key objectives include bringing together leading professors specializing in technology-driven impact within the hospitality and tourism sector, initiating research projects in line with a shared research agenda and in collaboration with local and international industry partners, and collaboratively developing expertise in emerging technologies that empower the role of hospitality and tourism as catalysts for societal impact. This endeavor contributes to the development and acceleration of the Knowledge and Innovation Agenda (KIA) ‘Key technologies’ & ‘Digitalization’. The aim is to foster an excellent reputation for Dutch hospitality and tourism as a global leader in technology-driven societal impact.We have strong support from CELTH, the Centre of Expertise within the domain of leisure, tourism and hospitality for the overall ambitions of the research project.Societal issueThe HTIT-EN project bridges societal importance and cross-cutting issues in the tourism and hospitality sectors. It’s fueled by the ambition to leverage emerging technologies to tackle industry-specific challenges, including knowledge and skills gaps, labor shortages and replacements, and evolving consumer expectations.Benefit to societyThe platform brings together professors and researchers from MBO, HBO and WO knowledge institutes as well as diverse set of professional partners to stimulate collaboration, align research lines and establish joint a joint research agenda on how technology-driven impact may become a catalyst within hospitality and tourism.
