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.
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.