How does a robot choose between right and wrong?
Artificial Intelligence
How does a robot choose between right and wrong?
Does AI control what you can say on social media?
Should AI be allowed to make diagnoses?
How can AI be used to cycle faster?
How does a robot choose between right and wrong?
Does AI control what you can say on social media?
Should AI be allowed to make diagnoses?
How can AI be used to cycle faster?
Questions like these affect us all. Together, we will find the answers. At Maastricht University, we work with students, lecturers, researchers, regional companies, and other educational institutions to tackle both the big and small questions of our time. Discover how others are making a difference.
The thinking power of the future
AI is changing the world, but what this new world will look like is still unclear. The impact on our work, healthcare, principles of law, and our daily lives will vary for everyone, but one thing is certain: AI will impact all of us.
At Maastricht University, we look beyond just the technology itself. We investigate how AI works and how we should engage with it. Ethics and technology go hand in hand. How do we ensure machines make the right choices? What is morally acceptable, and who decides that?
Explore our current research and education on health and prevention and discover how you can contribute to finding tomorrow's answers.
What rules should AI follow?
Katleen Gabriels, assistant professor of Philosophy at the Faculty of Arts and Social Sciences, specialises in ethical and philosophical aspects of computer technology. In today’s age, that is extremely difficult: How can we formalise ethics into a decision tree?
What rules should AI follow?
Katleen Gabriels, assistant professor of Philosophy at the Faculty of Arts and Social Sciences, specialises in ethical and philosophical aspects of computer technology. In today’s age, that is extremely difficult: How can we formalise ethics into a decision tree?
What rules should AI follow?
Katleen Gabriels, assistant professor of Philosophy at the Faculty of Arts and Social Sciences, specialises in ethical and philosophical aspects of computer technology. In today’s age, that is extremely difficult: How can we formalise ethics into a decision tree?
What rules should AI follow?
Katleen Gabriels, assistant professor of Philosophy at the Faculty of Arts and Social Sciences, specialises in ethical and philosophical aspects of computer technology. In today’s age, that is extremely difficult: How can we formalise ethics into a decision tree?
Who determines what you can say on social media?
In our online world, algorithms determine what is and is not acceptable on platforms like Facebook and Instagram. Valentina Golunova, assistant professor of Digital Democracy, researches how far that can go.
Who determines what you can say on social media?
In our online world, algorithms determine what is and is not acceptable on platforms like Facebook and Instagram. Valentina Golunova, assistant professor of Digital Democracy, researches how far that can go.
Who determines what you can say on social media?
In our online world, algorithms determine what is and is not acceptable on platforms like Facebook and Instagram. Valentina Golunova, assistant professor of Digital Democracy, researches how far that can go.
Who determines what you can say on social media?
In our online world, algorithms determine what is and is not acceptable on platforms like Facebook and Instagram. Valentina Golunova, assistant professor of Digital Democracy, researches how far that can go.
Should AI be allowed to make diagnoses?
AI promises to revolutionise medicine, but extensive research still needs to be done before that happens. Laure Wynants, assistant professor of Epidemiology, focuses on exactly this. With the prestigious Vidi Grant, she will now establish a new time to determine when an AI model is really ready to be used in the medical world.
Should AI be allowed to make diagnoses?
AI promises to revolutionise medicine, but extensive research still needs to be done before that happens. Laure Wynants, assistant professor of Epidemiology, focuses on exactly this. With the prestigious Vidi Grant, she will now establish a new time to determine when an AI model is really ready to be used in the medical world.
Should AI be allowed to make diagnoses?
AI promises to revolutionise medicine, but extensive research still needs to be done before that happens. Laure Wynants, assistant professor of Epidemiology, focuses on exactly this. With the prestigious Vidi Grant, she will now establish a new time to determine when an AI model is really ready to be used in the medical world.
Should AI be allowed to make diagnoses?
AI promises to revolutionise medicine, but extensive research still needs to be done before that happens. Laure Wynants, assistant professor of Epidemiology, focuses on exactly this. With the prestigious Vidi Grant, she will now establish a new time to determine when an AI model is really ready to be used in the medical world.
AI and the cycling team
The honours programme Knowledge Engineering @ Work, offered by the Advanced Computing Sciences department, allows bachelor’s students to apply their knowledge in real-world situations. They are encouraged to use AI and Data Science techniques to help local organisations. Kristian van Kuijk used machine learning to improve the results of the professional cycling team Jumbo-Visma.
AI and the cycling team
The honours programme Knowledge Engineering @ Work, offered by the Advanced Computing Sciences department, allows bachelor’s students to apply their knowledge in real-world situations. They are encouraged to use AI and Data Science techniques to help local organisations. Kristian van Kuijk used machine learning to improve the results of the professional cycling team Jumbo-Visma.
AI and the cycling team
The honours programme Knowledge Engineering @ Work, offered by the Advanced Computing Sciences department, allows bachelor’s students to apply their knowledge in real-world situations. They are encouraged to use AI and Data Science techniques to help local organisations. Kristian van Kuijk used machine learning to improve the results of the professional cycling team Jumbo-Visma.
AI and the cycling team
The honours programme Knowledge Engineering @ Work, offered by the Advanced Computing Sciences department, allows bachelor’s students to apply their knowledge in real-world situations. They are encouraged to use AI and Data Science techniques to help local organisations. Kristian van Kuijk used machine learning to improve the results of the professional cycling team Jumbo-Visma.
Meer informatie over
Artificial Intelligence
No items found.
How would you like to contribute to
Artificial Intelligence
?
Discover our courses
At Maastricht University, we offer numerous bachelor's programmes that allow you to immerse yourself in this theme.
Discover our careers
Research and education related to this theme are made possible thanks to our dedicated staff, in roles ranging from HR and IT to academia.
Discover our programme
The Academy for Lifelong Development offers a variety of programmes that align with this theme.
Explore our other themes
No items found.
No items found.
About Maastricht University
At Maastricht University, we collaboratively seek solutions to help move the world forward. We do this with 23,000 students and 5,000 employees across 5 regional locations, 6 faculties, and more than 70 research institutes. We encourage you to push boundaries and discover new opportunities for yourself and the world around you. Together, we can find the answers for tomorrow.