While deeply woven into our everyday life, digital infrastructure—from network switches to public administration databases—is typically invisible to users.
Most humanitarian scholars ask what geospatial intelligence, from satellite and drone imagery combined with artificial intelligence, can do for humanitarian action.
With the introduction of new information technologies, military personnel are increasingly working together in large networks. This project examined how to ensure socially-responsible operations within this context.
How to make sure that the nightlife in our cities is safe, but also fun? This project showed that various measures are required to ensure socially-responsible video surveillance.
Military operations rely increasingly on complex, intelligent combat systems. International humanitarian law puts limitations on when they can be used. The researchers clarify what ‘meaningful human control’ is and provide a general direction for the designing-in of human responsibility into combat systems.
Sensors and computer applications can be used to create smart cities with a high standard of living. In this project, an ethical framework is developed for such a city.
Individual, public and commercial interests with respect to 'Big Data' sometimes conflict. How to strike a balance? This project develops a regulatory and institutional framework.
The rapid development of smartphone technology creates great opportunities for supporting a healthier lifestyle. This project develops ways through which users can trust health support systems and are willing to use them without this affecting their intrinsic motivation to lead a healthy lifestyle.
Public bodies can take citizens much more into account in data communication. How to incentivize them to make their data communication citizen-friendly in a meaningful way?
The project focuses on complexity due to hyper-connectivity of public and private actors when exercising public tasks using distributed ledger technologies, such as blockchain.
Political microtargeting, and the conditions under which the use of AI and data analytics can contribute to, or threaten digital democracy are questions of central academic, societal and political importance.
Databases help the police and judiciary to fight crime. Data mining, however, should not result in ethnic profiling or discrimination. This project researched how discrimination on the basis of data mining by the police and judiciary can be prevented.The researchers demonstrated that the algorithms currently being used lead to a number of discriminatory effects. Simply removing sensitive data, such as gender and ethnicity, did not solve the issue. Newly developed algorithms tested with real data, however, do prevent discrimination but also provide a realistic picture of the distribution of crime and the risk that people will commit an offence.
Palliative care at home is only possible in more complex cases if GPs are supported by palliative specialists. This project showed that this can be done in the Netherlands by using video consultation. Elderly patients had no trouble using the technology, and the contact was experienced as positive. One condition, however, is that there must be a clear distribution of responsibilities between care providers. In Nigeria, however, problems were encountered with this technology.
Many parents are concerned about online bullying on social media, and an innovation like the cyberbuddy can help children who are the victims of such bullying.
The rapid expansion of drone technology makes it important to develop a toolkit that connects ethical and societal analysis within the design and testing phase of new drone technologies.
New digital technologies provide social and economic opportunities for the logistics of accommodating refugees. The researchers are developing an expert system to optimise the logistics process in a socially responsible manner, taking into account the ethical and social aspects and the interests of all stakeholders.
How can we ensure that military AI technologies support but never replace critical judgement by human soldiers and thereby remain under human control?
New technologies like wind mills and e-vehicles require turning our electricity networks into ‘smart grids’. Examples of values relevant for a successful and responsible transition to smart grids are privacy and reliability.
This research is aimed at socio-technical designs and business models that facilitate the development of smart urban energy systems, for example in the city of Amsterdam.
With the ageing of the population, the number of falls involving an elderly person is increasing. The result is a decrease in mobility and an increase in healthcare costs. Can innovation prevent this?
“Digital Operation Room Assistant” DORA was designed to prevent technical errors in increasingly complex operation rooms. A clever design solved a dilemma that prevented DORA from being used effectively.
More and more medical care can be provided remotely. This project identified factors that positively influence the trust that patients have in telecare innovations, and therefore their success.
This project proposes two tools for achieving a balance between surveillance by technological devices and control by / autonomy of patients and nurses with telecare applications.
Based on factors determining willingness to participate in health biobanks, this project develops new, responsible methods to enhance commitment and participation rates.
How can automated vehicles contribute to safer and more efficient traffic without loss of human control? Automated and semi-automated vehicles are in the limelight. According to many, it is a matter of how we will transition to automated driving rather than when. But how many tasks can a vehicle safely take over from a driver? And who is responsible when things go wrong? This project focuses on socially responsible transition to automated vehicles and will develop guidelines for this. Developing a theory of “meaningful human control” of automatic vehicles is central in this research project.
How can robotization in logistic warehouses be utilized and developed in a way that does not conflict with workers’ sense of meaning in work, work motivation, and general well-being?