Artificial Intelligence and Digitization

are two of the most transformative forces of our time. They are changing the way we live, work, and interact with the world around us.

AI is rapidly becoming more powerful and sophisticated. It is being used in a wide range of applications, from self-driving cars to medical diagnosis. Digitization is also accelerating, with more and more data being generated and stored in digital form.

These two trends are converging to create a new era of technological change. AI and digitization are creating new opportunities and challenges, and they are demanding new approaches to research.
Traditional disciplinary approaches are no longer sufficient to address the complex challenges posed by AI and digitization. We need to adopt a more transdisciplinary approach to research, which brings together researchers from different disciplines to work on common problems.
Transdisciplinary research requires researchers to be open to new ideas and perspectives, and to be willing to collaborate with people from different backgrounds. But it is essential if we are to address the challenges of the 21st century.

Some examples of how transdisciplinary research is being used to address the challenges of AI and digitization:
Researchers from computer science, engineering, and social sciences are working together to develop AI systems that are safe and ethical.
Researchers from medicine, computer science, and public health are working together to develop AI-powered tools for early disease detection and prevention.
Researchers from business, law, and ethics are working together to develop policies and regulations for the responsible development and use of AI.

These are just three examples of the many ways that transdisciplinary research is being used to address the challenges of AI and digitization. As these technologies continue to evolve, the need for this kind of research will only grow.

Possible benefits of transdisciplinary research:

... helping us to develop more comprehensive and effective solutions to complex problems.
... helping us to identify and address potential risks and ethical concerns.
... helping us to build public trust in AI and digitization.

Transdisciplinary research is not a panacea. This is a complex and challenging research approach, but it is essential if we are to meet the challenges of the 21st century.