Human-Content-to-Machine-Data_Final - Flipbook - Page 3
About Creative Commons
Creative Commons (CC) is an international nonproût organization that empowers people to
grow and sustain the thriving commons of shared knowledge and culture we need to address
the world9s most pressing challenges and create a brighter future for all.
Our Vision: A world where education, culture, and science are equitably shared as a means to
beneût humanity.
Our Mission: CC empowers individuals and communities around the world through technical,
legal, and policy solutions that enable the sharing of education, culture, and science in the
public interest.
Acknowledgements
This paper is the product of conversations, workshops, consultations, and research over
the last three years.
We wish to thank the participants of the Community Workshop on Preference Signals
held on June 6, 2024 in New York City, and on October 23, 2024 in San Francisco, as well
as the participants of the From Human Content to Machine Data: Using Collective
Action to Develop a New Social Contract for Machine Reuse workshop on April 23, 2025
in Berlin and on May 20, 2025 in New York City. We9d also like to thank our partners,
without whom these workshops would not have been possible: The Alexander von
Humboldt Institute for Internet and Society, Engelberg Center on Innovation Law &
Policy, Morrison & Foerster, and NYU Stern School of Business. We9d also like to thank the
CC global community who have been engaging with us on this topic and providing
invaluable insights and feedback, as well as the various legal and technical experts who
have supported CC9s preference signals vision.
This work would not be possible without the support of the members of CC9s Open
Infrastructure Circle. Thank you. The continuation of this work will require ongoing
sustainable funding. Please contact us to explore how you can make a difference
through the Open Infrastructure Circle.
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