Multistakeholder perspectives and experience of trust in digital health and AI
Facts
- Contact person:
- Michael Strange
- Financer:
-
- IOTAP
- Responsible at MaU:
- Michael Strange
- Project members at MaU:
- Time frame:
- 01 September 2024 - 12 January 2025
- Faculty/department:
- Research environment :
Project description
How can trust emerge when AI in healthcare remains largely speculative? And, how can dialogue over trust be used to improve the technology itself and identify new AI applications in healthcare that might accelerate innovation for societal good?
Call for healthcare professionals to participate in the Global 2024 survey on trust relations in digital health and artificial intelligence
Artificial Intelligence (AI) is promised to improve global healthcare systems but what does it mean for the real-world experience of healthcare professionals and organisations? How can trust emerge when AI in healthcare remains largely speculative? How can dialogue over trust be used to improve the technology itself and identify new AI applications in healthcare that might accelerate innovation for societal good?
About the survey
The survey seeks to develop a new perspective focused on the relations key to how AI would be used in healthcare. The survey is based around a series of scenarios where you are asked your opinion
All responses are provided anonymously. Resulting data is intended for publication in a scientific paper and will not be able to disclose any identifying information. The survey takes approximately 15 minutes to complete. Please also consider forwarding this invitation within your network to help reach a wider population of healthcare professionals.
Participate in the survey on trust relations in digital health and artificial intelligence
Deadline
Please complete the survey online by 31st October 2024.