Privacy Protecting AI and Building Consumer Trust
Summary
A podcast episode featuring Kleomenis Katevas discussing privacy-preserving machine learning, on-device AI processing, and strategies for building consumer trust in AI systems.
Key quotes
Privacy preserving AI... refers to all techniques and methodologies in AI that ensures the protection for user data, both for the data used when training a machine learning model, but also when we are doing inference
We don’t need To stick to this model of Big Tech, which is collect as much behavioral data across as many devices and profiles from users and social networks
We should remember not to anthropomorphize ML models like LLMs. They’re advanced machine machine learning models.
This transcript is from the Brave Technologist podcast. It features a conversation between host Luke Maltz and Kleomenis Katevas, a Machine Learning Researcher at Brave Software.