Wisdom From The Women Leading The AI Industry, With Leyla Hujer of Preamble

November 14, 2021
Read an interview about women leading the AI industry from our Lead Engineer, Leyla Hujer.
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ACM RecSys Conference 2021

October 7, 2021
The Preamble team was in Amsterdam for the 15th ACM RecSys Conference. We met a lot of talented researchers and industry professionals. We had many intriguing conversations, learned a lot, and saw a few common themes being discussed: regulating recommenders, key problems with recommendation systems, ensuring fairness, reducing bias, and how to better manage large recommendation systems. Read about our time at the conference.
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Facebook News Today, but What do we do Tomorrow?

October 6, 2021
On October 5, 2021, testimony from Facebook whistleblower Frances Haugen was presented to a Senate Subcommittee on Consumer Protection, Product Safety, and Data Security. Read our summary and how Preamble is working to mitigate these issues in the future.
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Jonathan Cefalu CEO of Preamble: “Building a Team”

August 26, 2021
Read the interview with our CEO on building a team and his experience as a second time founder.
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When Curation Becomes Creation: Algorithms, Microcontent, and the Vanishing Distinction between Platforms and Creators

July 21, 2021
Read our Chief Scientist's take on the role platforms play in creating content from curation and the current state of laws that protect these platforms.
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Making Middleware Work

July 1, 2021
The authors describe why middleware would be a good solution for internet platforms to adopt where users would have more control over the content that they see. They also describe how a middleware service protects the user's First Amendment Rights.
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Beyond Engagement: Aligning Algorithmic Recommendations With Prosocial Goals

January 21, 2021
Online platforms currently use various content moderations solutions to remove content that should not be on the platforms, but there is no solution to say what content should be shown. In this case, the author is describing content recommender systems that are the basis of modern media infrastructure and several promising improvements that can be made.
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Cooperatively Learning Human Values

August 17, 2017
We, humans, have a notoriously difficult time specifying what we actually want, and the AI systems we build suffer from it. With AI, this warning actually becomes “Be careful what you reward!”.
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