To build a foundation of trust for health AI, academics, medical professionals and industry leaders agreed on three core principles:
- Make clear distinctions about the responsibilities of AI and which problems it should and should not be involved in.
- Coming to terms with an acceptable margin of error for these machines is important to understanding they are not always right.
- Transparency about the limitations of the machines can help build trust while knowing their imperfections.
