Ep. 158 Safe Use of AI with Privacy Enhancing Technology

Every technology has a maturation cycle; today we see Artificial Intelligence transitioning from being a parlor trick to being considered for serious applications. The federal government wants secure and reliable solutions to solve problems in the military and healthcare.

Our guest today is Dr. Ellison Anne Williams, she has a PhD in mathematics and is the founder of Enveil. She provides an overview of AI security by suggesting it is only as good as the data over which you train and use it.

AI is exposed to large data sets and models are encoded with the data with which they were trained. This process can leave the model vulnerable and open to attack, she describes one attack called a “model inversion.”

This is a machine learning technique that examines a model’s output and infers personal information about its data subject.

Dr. Ellison suggests a group of technologies called “Privacy Enhancing Technology.” During the interview, she gives an overview of how it can securely and privately train a model to produce richer insights.

PET allows leaders to secure the use of a wider range of data sources. You can use homomorphic encryption to safely train your model over sensitive data.

This interview is an overview of a technology that can allow federal agencies that must deal with sensitive information to be able to leverage the speed and insights that AI can provide. 

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