Developing a Framework for Educational AI: Ethical, Evidence-Based, and Equitable Approaches

The American Medical Association (AMA) has taken a significant step in the development of AI by creating a framework for the use of AI in health care. This framework, based on ethics, evidence, and equity, aims to promote Trustworthy Augmented Intelligence in Health Care. Building on this success, the AMA has now extended this framework to educational applications of AI.

The vision behind this framework is to apply AI to support the educational equivalent of the quintuple aim in health care. This includes enhancing the learner’s experience, improving learning outcomes, reducing costs, bettering the work-life of educators, and advancing educational equity. By leveraging AI in education, the goal is to create a more personalized and effective learning experience for all learners.

To ensure the successful implementation of AI in education, clearly defined roles and responsibilities are essential. Developers, administrators, and educators all play crucial roles in the deployment and use of AI tools in educational settings. Guidance is provided for each of these stakeholders to ensure that AI is used ethically, effectively, and equitably.

Stakeholders have emphasized the need for transparency, guardrails, and education in the development and use of educational AI. It is important to establish protocols for validating AI systems, protecting data privacy, and monitoring performance to mitigate potential negative impacts. By translating principles into practice and following the guidance provided by the AMA Code of Medical Ethics, the responsible use of AI in education can be achieved.

Overall, the AMA’s framework for educational AI sets a strong foundation for the integration of AI in medical education. By following the guidelines and recommendations outlined in this framework, educators and administrators can harness the power of AI to enhance the learning experience and improve outcomes for all learners.