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A lot has changed in the past few years, and it is high time for Creative Commons (CC) to be louder about our values. Underpinning our <\/span>recently released strategic plan<\/span><\/a> is a renewed call for <\/span>reciprocity<\/b>. Neutrality serves only the status quo and there is nothing neutral about fighting for a more equitable world through open practices and sharing knowledge.\u00a0\u00a0<\/span><\/p>\n Since the inception of CC, there have been two sides to the licenses. There\u2019s the legal side, which describes in explicit and legally sound terms, what rights are granted for a particular item. But, equally there\u2019s the social side, which is communicated when someone applies the CC icons. The icon acts as identification, a badge, a symbol that we are in this together, and that\u2019s why we are sharing. Whether it\u2019s scientific research, educational materials, or poetry, when it\u2019s marked with a CC license it\u2019s also accompanied by a social agreement which is anchored in reciprocity. <\/span>This is for all of us.<\/span><\/i><\/p>\n But, with the mainstream emergence of generative AI, that social agreement has come into question and come under threat, with knock-on consequences for the greater commons. Current approaches to building commercial foundation models lack reciprocity. No one <\/span>shares photos of ptarmigans<\/span><\/a> to get rich, no one <\/span>contributes to articles about Hulduf\u00f3lk<\/span><\/a>\u200b seeking fame. It is about sharing knowledge. But when that shared knowledge is opaquely ingested, credit is not given, and the crawlers ramp up server activity (and fees) to the degree where the human experience is degraded, folks are demotivated to continue contributing.<\/span><\/p>\n The open movement has always fought for shared knowledge to be accessible for everyone and anyone to use, to learn from. We don\u2019t want to slow down scientific discovery. If we can more rapidly learn, discover, and innovate, with the use of new technologies, that\u2019s wonderful. As long as we\u2019re actually in this together.<\/span><\/p>\n What we ultimately want, and what we believe we need, is a commons that is strong, resilient, growing, useful (to machines and to humans)\u2014all the good things, frankly. But as our open infrastructures mature they become increasingly taken for granted, and the feeling that \u201cthis is for all of us\u201d is replaced with \u201ceveryone is entitled to this\u201d. While this sounds the same, it <\/span>really <\/span><\/i>isn\u2019t. Because with entitlement comes misuse, the social contract breaks, reciprocation evaporates, and ultimately the magic weakens.\u00a0<\/span><\/p>\n Reciprocity in the age of AI<\/b> means fostering a mutually beneficial relationship between creators\/data stewards and AI model builders. For AI model builders who disproportionately benefit from the commons,\u00a0 reciprocity is a way of giving back to the commons that is community and context specific.\u00a0<\/span><\/p>\n (And in case it wasn\u2019t already clear, this piece isn\u2019t about policy or laws, but about centering people).\u00a0<\/span><\/p>\n This is where our values need to enter the equation: we cannot sit neutrally by and allow \u201cthis is for everyone\u201d to mean that grossly disproportionate benefits of the commons accrue to the few. That our shared knowledge pools get siphoned off and kept from us.\u00a0<\/span><\/p>\n We believe reciprocity must be embedded in the AI ecosystem in order to uphold the social contract behind sharing.\u00a0 If you benefit from the commons, and (critically) if you are in a position to give back to the commons, you should. Because the commons are for everyone, which means we all need to uphold the value of the commons by contributing in whatever way is appropriate.\u00a0<\/span><\/p>\n There never has been, nor should there be, a mandatory 1:1 exchange between each individual and the commons. What\u2019s appropriate then, as a way to give back? So many possibilities come to mind, including:<\/span><\/p>\n When we talk about defending the commons, it involves sustaining them, growing them, and making sure that the social contract remains intact for future generations of humans. And for that to happen, it\u2019s time for some reciprocity.<\/span><\/p>\n Part of CC being louder about our values is also taking action in the form of a social protocol that is built on preference signals, a simple pact between those stewarding data and those reusing it for generative AI. Like CC licenses, they are aimed at well-meaning actors and designed to establish new social norms around sharing and access based on <\/span>reciprocity<\/b>. We\u2019re actively working alongside values-aligned partners to pilot a framework that makes reciprocity actionable when shared knowledge is used to train generative AI. Consider joining the <\/span>Open Infrastructure Circle<\/span><\/a> to help us move this work forward.<\/span><\/p>\n”,”protected”:false},”excerpt”:{“rendered”:” Reciprocal Roof (Shed) by Ziggy Liloia is licensed under CC BY-NC 2.0 A lot has changed in the past few years, and it is high time for Creative Commons (CC) to be louder about our values. Underpinning our recently released strategic plan is a renewed call for reciprocity. 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