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.
At the Becker's 11th Annual IT + Revenue Cycle Conference: The Future of AI & Digital Health, taking place September 14–17 in Chicago, healthcare executives and digital leaders from across the country will come together to explore how AI, interoperability, cybersecurity, and revenue cycle innovation are transforming care delivery, strengthening financial performance, and driving the next era of digital health. Apply for complimentary registration now.
