The system cards also cover AI systems that recommend “unconnected” content from people, groups, or accounts they don’t follow.
They cover Feed, Stories, Reels and other surfaces where people go to find content from the accounts or people they follow. They give information about how our AI systems rank content, some of the predictions each system makes to determine what content might be most relevant to you, as well as the controls you can use to help customize your experience. Today, we are releasing 22 system cards for Facebook and Instagram. A model of transparency Meta has been developing and advocating for some time is the publication of system cards, which give people insight into how our systems work in a way that is accessible for those who don’t have deep technical knowledge.
We want to be more open about how this works. So we use a wide variety of predictions in combination to get as close as possible to the right content, including some based on behavior and some based on user feedback received through surveys. As you might imagine, no single prediction is a perfect gauge of whether a post is valuable to you. For example, sharing a post is often an indicator that you found that post to be interesting, so predicting that you will share a post is one factor our systems take into account. Our AI systems predict how valuable a piece of content might be to you, so we can show it to you sooner. How AI Predictions Influence Recommendations That starts with giving you more insight into, and control over, the content you see. Generally speaking, we believe that as these technologies are developed, companies should be more open about how their systems work and collaborate openly across industry, government and civil society to help ensure they are developed responsibly. We believe that the best way to respond to those concerns is with openness. With rapid advances taking place with powerful technologies like generative AI, it’s understandable that people are both excited by the possibilities and concerned about the risks. This is part of a wider ethos of openness, transparency and accountability. And we’re giving more detailed information for experts so they can better understand and analyze our systems. We’re also making it clearer how you can better control what you see on our apps, as well as testing new controls and making others more accessible. These systems make it more likely that the posts you see are relevant and interesting to you. Today, we’re building on that commitment by being more transparent around several of the AI systems that incorporate your feedback to rank content across Facebook and Instagram. In that piece, I wrote that we needed to be more frank about how this relationship works and to give you more control over what you see.
I wrote previously about the relationship between you and the algorithms Meta uses to shape what you see on Facebook and Instagram, and to challenge the myth that algorithms leave people powerless over the content they see. To make everyone’s experience on our apps unique and personalized to them, we use AI systems to decide what content appears, informed by the choices they make. Billions of people use Facebook and Instagram every day to share the ups and downs of life, to connect with people who share their interests, and to discover content they enjoy.
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