Technically sound, socially responsible and accessible AI: New framework champions equity in AI for health care
Introduction
Artificial intelligence (AI) has the potential to revolutionize healthcare, but only if it addresses the needs of all populations. A new framework developed by the University of Chicago and the University of Pennsylvania aims to ensure that AI in healthcare is technically sound, socially responsible, and accessible to all.
The framework, published in the journal JAMA Internal Medicine, provides a set of principles and best practices for developing and deploying AI in healthcare. These principles include:
- Technical soundness: AI systems should be developed and tested to ensure that they are accurate, reliable, and safe.
- Social responsibility: AI systems should be designed to promote health equity and reduce bias.
- Accessibility: AI systems should be designed to be accessible to all users, regardless of their age, disability, or socioeconomic status.
Benefits of the Framework
The new framework provides a number of benefits for healthcare providers, patients, and policymakers. For healthcare providers, the framework can help to ensure that they are using AI systems that are safe, effective, and equitable. For patients, the framework can help to ensure that they have access to the best possible care, regardless of their background. For policymakers, the framework can help to guide the development of policies that promote the responsible use of AI in healthcare.
Implementation of the Framework
The new framework is still in its early stages of development, but it is already being used by a number of healthcare organizations. The University of Chicago Medicine, for example, is using the framework to develop a new AI system to predict the risk of heart disease. The system is designed to be accurate, fair, and accessible to all patients.
The University of Pennsylvania Health System is also using the framework to develop a new AI system to help patients manage their diabetes. The system is designed to be easy to use and to provide patients with personalized feedback on their blood sugar levels.
Conclusion
The new framework for AI in healthcare is a major step forward in ensuring that this technology benefits all populations. By promoting technical soundness, social responsibility, and accessibility, the framework can help to ensure that AI is used to improve the health of everyone.
