The US Food and Drug Administration (FDA) has announced that it is preparing to regulate artificial intelligence (AI) systems that can update and improve themselves as they gorge on more training data. The Predictive Analytics Times brought this subject to our attention in their article, “The FDA Wants To Regulate Machine Learning in Health Care.”
It is the biggest step the FDA has taken to date toward formalizing oversight of products that use machine learning. Machine-learning systems are tricky to regulate because they can continuously update and improve their performance through new training data.
Predictive analytics is the use of data, statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data. The goal is to go beyond knowing what has happened to providing a best assessment of what will happen in the future.
It is especially beneficial in healthcare as it can improve pattern detection and prevent criminal behavior. As cyber security becomes a growing concern, high-performance behavioral analytics examines all actions on a network in real time to spot abnormalities.
Melody K. Smith
Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.
