5 Provisions in FDA Artificial Intelligence/Machine Learning Plan
Attorney Matthew Decker (Duane Morris) says a 1/12 FDA action plan on the regulation of artificial intelligence and machine learning (AI/ML)-based software as a medical device (SaMD) outlines five primary goals and commitments to advance the agency’s interest in facilitating the innovation of SaMD while developing proper oversight. In an online post, he says the five elements are:
- issuing a draft guidance on the predetermined change control plan first described in a 4/2019 white paper that proposed an initial regulatory framework for SaMD;
- encouraging and harmonizing the development of good machine learning practice;
- holding a public workshop on how device labeling supports transparency to users and enhances consumer trust in AI/ML-based products;
- providing support for efforts to develop a methodology to evaluate and improve ML algorithms to identify and eliminate potential biases; and
- developing a real-world performance monitoring program through which stakeholders can work with FDA to employ SaMD in real-world settings.
“While a final framework for the recognition of AI/ML-based SaMD may still be years off,” Decker writes, “FDA’s latest action plan constitutes an unambiguous recognition that SaMD is here to stay. Moreover, the action plan reflects a clear commitment to collaborate with stakeholders to ensure that the proper balance between innovation and regulation is achieved.”