The company’s latest attempt to make internal operations more transparent follows months of regulatory scrutiny over its algorithms.
yesterday. “But understanding how and why AI operates can be difficult for everyday users and others. We’re aiming to change that.”Artificial intelligence models may be deployed for a wide range of tasks. For example, Meta’s image classification models are designed to predict the contents of an image, but they can also detect and flag harmful content or power a recommender system that shows posts a particular user might find interesting.
These new system cards would lay out how an AI system would use information such as an individual’s history of interactions on the app, preferences, and account settings to build out a model that can inform the order in which posts are presented to that user as they journey through the app. It’s “designed to provide insight into an AI system’s underlying architecture and help better explain how the AI operates,” Meta explained.virtual event hosted by Meta..
The system will also apply general rules to promote a large variety of posts across media types, authors, and content, in the feed. These rules, for example, tell the system to “show no more than three posts in a row from the same account.” On the, members of the public can run through an interactive exercise with a hypothetical user profile to see how the various components are applied in practice.