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CC and Communia Statement on Transparency in the EU AI Act

An abstract European Union flag of diffused gold stars linked by golden neural pathways on a deep blue mottled background.
“EU Flag Neural Network” by Creative Commons was cropped from an image generated by the DALL-E 2 AI platform with the text prompt “European Union flag neural network.” CC dedicates any rights it holds to the image to the public domain via CC0.

The European Union’s Artificial Intelligence (AI) Act will be discussed at a key trilogue meeting on 24 October 2023 — a trilogue is a meeting bringing together the three bodies of the European Union for the last phase of negotiations: the European Commission, the European Council and the European Parliament. CC collaborated with Communia to summarize our views emphasizing the importance of a balanced and tailored approach to regulating foundation models and of transparency in general. Additional organizations that support public interest AI policy have also signed to support these positions.

Statement on Transparency in the AI Act

The undersigned are civil society organizations advocating in the public interest, and representing knowledge users and creative communities.

We are encouraged that the Spanish Presidency is considering how to tailor its approach to foundation models more carefully, including an emphasis on transparency. We reiterate that copyright is not the only prism through which reporting and transparency requirements should be seen in the AI Act.

General transparency responsibilities for training data

Greater openness and transparency in the development of AI models can serve the public interest and facilitate better sharing by building trust among creators and users. As such, we generally support more transparency around the training data for regulated AI systems, and not only on training data that is protected by copyright.

Copyright balance

We also believe that the existing copyright flexibilities for the use of copyrighted materials as training data must be upheld. The 2019 Directive on Copyright in the Digital Single Market and specifically its provisions on text-and-data mining exceptions for scientific research purposes and for general purposes provide a suitable framework for AI training. They offer legal certainty and strike the right balance between the rights of rightsholders and the freedoms necessary to stimulate scientific research and further creativity and innovation.

Proportionate approach

We support a proportionate, realistic, and practical approach to meeting the transparency obligation, which would put less onerous burdens on smaller players including non-commercial players and SMEs, as well as models developed using FOSS, in order not to stifle innovation in AI development. Too burdensome an obligation on such players may create significant barriers to innovation and drive market concentration, leading the development of AI to only occur within a small number of large, well-resourced commercial operators.

Lack of clarity on copyright transparency obligation

We welcome the proposal to require AI developers to disclose the copyright compliance policies followed during the training of regulated AI systems. We are still concerned with the lack of clarity on the scope and content of the obligation to provide a detailed summary of the training data. AI developers should not be expected to literally list out every item in the training content. We maintain that such level of detail is not practical, nor is it necessary for implementing opt-outs and assessing compliance with the general purpose text-and-data mining exception. We would welcome further clarification by the co-legislators on this obligation. In addition, an independent and accountable entity, such as the foreseen AI Office, should develop processes to implement it.


A Year in the Open Climate Campaign

A black and white aerial view of a river landscape, with a network of blue lines connecting blue icons representing the locations of potential open climate speakers.
“River Banner” by Impact Media Lab for Creative Commons is licensed via CC BY 4.0.

If we are going to solve climate change, the knowledge about it must be open. Only 47% of research papers on climate change are open. That means less than half of all climate research can be read by the public, researchers, journalists, educators, policy makers, students and others seeking to mobilize this knowledge in mitigations and solutions for climate change. One year ago, Creative Commons and our partners — SPARC & EIFL with the guidance of the Steering Committee — launched the Open Climate Campaign to address the lack of access to climate change research. Comprising 11 goals, the Open Climate Campaign’s mission is to make the open sharing of research the norm in climate science.

The Campaign was successfully launched on 30 August 2022 and was covered by the International Science Council, Infodocket, Research Information, Nature, and Axios Brief. We began by developing campaign materials — for our target audiences — to advertise the Campaign and to persuade researchers, librarians, national governments, environmental organizations and funders the free and open sharing of the research they create and fund is key to addressing climate change. We leveraged these materials to organize and present at 39 events to connect with our target audiences. We partnered with the Curtin Open Knowledge Initiative to secure open access benchmark data for climate change publications, and drafted a report on the legal and policy barriers to open access; both activities helped the Campaign understand the landscape of open access in climate change research.

In Year One, the Campaign began working with National Governments and partnered with the Open Research Funder’s Group to offer a policy development program for funders of climate change research. The Campaign secured endorsements from several organizations including, but not limited to, PLOS, Wildlife Conservation Society, and the Digital Public Goods Alliance.

In keeping with the global focus of the Campaign, we also began recruiting for a working group of open access and climate change experts — in the global south — to ensure inclusive outcomes throughout the campaign. Finally, we made progress on the Campaign’s unbinding work by beginning to form relationships with publishers and open access tools to facilitate the opening of past climate change publications.

The Open Climate Campaign is looking forward to leveraging this success and progress into Year 2 as the Campaign continues to work on developing open access policies with national governments, funders, and environmental organizations in service of changing the culture of sharing in climate change research.

Pierre El Khoury — Open Culture VOICES, Season 2 Episode 29

“For researchers GLAM’s preserve primary sources” which is of great benefit when creating knowledge and research about the present and the past. Pierre talks about how open access policies in GLAM’s make knowledge shared and more widespread instead of just for the elite few with permission from the collecting institution.

Open Culture VOICES is a series of short videos that highlight the benefits and barriers of open culture as well as inspiration and advice on the subject of opening up cultural heritage. Pierre is the Vice Dean of the Faculty of Law at the Al Hikma University in Lebanon where he teaches on intellectual property law and  information and communications technology law.

Pierre responds to the following questions:

  1. What are the main benefits of open GLAM?
  2. What are the barriers?
  3. Could you share something someone else told you that opened up your eyes and mind about open GLAM?
  4. Do you have a personal message to those hesitating to open up collections?

Closed captions are available for this video, you can turn them on by clicking the CC icon at the bottom of the video. A red line will appear under the icon when closed captions have been enabled. Closed captions may be affected by Internet connectivity — if you experience a lag, we recommend watching the videos directly on YouTube.

Want to hear more insights from Open Culture experts from around the world? Watch more episodes of Open Culture VOICES here >>

CC Celebrates 20 Years of the UNESCO Convention on Safeguarding Intangible Heritage

This image features a set of colorful geometric patterns of a shyrdak, a type of rug. Square and diamond patterns are filled with spiraling and curvy abstract shapes in bright pink, red, navy, yellow, teal and light and dark blues.
A shyrdaq on the floor of a Kyrgyz home in Kyzyl-Jar, Aqsy, Jalalabat”, Kyrgyzstan by Firespeaker, here cropped, is licensed via CC BY-SA 3.0.

Today we celebrate the 20th anniversary of the UNESCO Convention for the Safeguarding of the Intangible Cultural Heritage. This convention was an important milestone in recognizing intangible cultural heritage or ICH — expressions of culture like performances, oral traditions, rituals and traditional knowledge — as an essential part of the world’s cultural heritage that deserves recognition and protection just like tangible heritage, such as sites and monuments. These cultural manifestations  keep heritage alive, and safeguarding them takes more than documentation — transmission from person to person and from generation to generation is key to their survival.

Over the last 20 years, hundreds of ICH elements have been officially recognized by UNESCO, offering them greater visibility and celebrating the diverse ways in which communities express, recreate and transmit their cultural heritage. In the Open Culture Program at Creative Commons, we believe that better sharing of ICH — i.e. making it available for broad access and reuse ethically, equitably, inclusively, respectfully, and responsibly — can be a catalyst for its safeguarding.

Through better sharing, ICH can be revitalized and expressed through new narratives with new voices, renewed, brought into modern contexts, and can be a part of today’s cultural landscape, sustaining dynamic evolution and transmission, in accordance with their bearers’ rights, wishes, needs, and aspirations. Better sharing helps to ensure that ICH manifestations can live beyond the database and continue to enrich the world’s diversity of cultural expressions. One example is the Wiki Loves Living Heritage project, supporting community work in documenting and sharing ICH around the world with the communities’ free, prior and informed consent. The initiative by Te Hiku Media to revitalize Te Reo Māori, the Māori language, as highlighted in Peter-Lucas Jones’s keynote at the CC Global Summit 2023, is a prime example of the importance of language as a vehicle for ICH transmission and safeguarding.

Better sharing to support safeguarding is one of the reasons why we are now leading a community initiative called “Towards a Recommendation on Open Culture” (TAROC), building upon the 2022 UNESCO Mondiacult Declaration’s recognition of culture as a global public good. This initiative aims to support the international community in developing a positive, affirmative, and influential international normative instrument (a “recommendation”) enshrining the values, objectives, and mechanisms for open culture to flourish. In the past few years, UNESCO adopted Recommendations for Open Educational Resources and Open Science, but there is currently no international instrument enshrining Open Culture. Such an instrument would recognize the importance of better sharing of culture as a means to activate and buttress wider cultural and information policy ambitions, including the safeguarding of ICH.

Learn more about the CC community’s TAROC initiative > Also in ShqiptareFrançaisEspañol日本語.

Watch this space for more about TAROC and contact us at to see how you can get involved in promoting open culture around the world.

Michael Weinberg — Open Culture VOICES, Season 2 Episode 28

Michael has discovered a lead-by-example way of working in Open GLAM which is that “friction and barriers that are faced are actually resolved by Open Access and Open GLAM which can be passed down to future users of creative works.” In this episode we learn more about the ways institutions conflate stewardship obligations and responsibility for  control how works are used as well as how to overcome the technical and practical challenges of opening up collections.

Open Culture VOICES is a series of short videos that highlight the benefits and barriers of open culture as well as inspiration and advice on the subject of opening up cultural heritage. Michael Weinberg is the Executive Director of the Engelberg Center on Innovation Law & Policy, NYU Law where he works to promote open access policies and copyright reform.

Michael responds to the following questions:

  1. What are the main benefits of open GLAM?
  2. What are the barriers?
  3. Could you share something someone else told you that opened up your eyes and mind about open GLAM?
  4. Do you have a personal message to those hesitating to open up collections?

Closed captions are available for this video, you can turn them on by clicking the CC icon at the bottom of the video. A red line will appear under the icon when closed captions have been enabled. Closed captions may be affected by Internet connectivity — if you experience a lag, we recommend watching the videos directly on YouTube.

Want to hear more insights from Open Culture experts from around the world? Watch more episodes of Open Culture VOICES here >>

Making AI Work for Creators and the Commons

[lee esta entrada en español >]

A group of about 20 people standing in a room with a slide behind them that says Open Future & Creative Commons.
“CC Global Summit 2023 Day 0” by Creative Commons is licensed CC BY 4.0.

On the eve of the CC Global Summit, members of the CC global community and Creative Commons held a one-day workshop to discuss issues related to AI, creators, and the commons. The community attending the Summit has a long history of hosting these intimate discussions before the Summit begins on critical and timely issues.

Emerging from that deep discussion and in subsequent conversation during the three days of the Summit, this group identified a set of common issues and values, which are captured in the statement below. These ideas are shared here for further community discussion and to help CC and the global community navigate uncharted waters in the face of generative AI and its impact on the commons.

Background considerations

  1. Recognizing that around the globe the legal status of using copyright protected works for training generative AI systems raises many questions and that there is currently only a limited number of jurisdictions with relatively clear and actionable legal frameworks for such uses. We see the need for establishing a number of principles that address the position of creators, the people building and using machine learning (ML) systems, and the commons, under this emerging technological paradigm.
  2. Noting that there are calls from organized rightholders to address the issues posed by the use of copyrighted works for training generative AI models, including based on the principles of credit, consent, and compensation.
  3. Noting that the development and deployment of generative AI models can be capital intensive, and thus risks resembling (or exacerbating) the concentration of markets, technology, and power in the hands of a small number of powerful for-profit entities largely concentrated in the United States and China, and that currently most of the (speculative) value accrues to these companies.
  4. Further noting that, while the ability for everyone to build on the global information commons has many benefits, the extraction of value from the commons may also reinforce existing power imbalances and in fact can structurally resemble prior examples of colonialist accumulation.
    1. Noting that this issue is especially urgent when it comes to the use of traditional knowledge materials as training data for AI models.
    2. Noting that the development of generative AI reproduces patterns of the colonial era, with the countries of the Global South being consumers of Northern algorithms and data providers.
  5. Recognizing that some societal impacts and risks resulting from the emergence of generative AI technologies need to be addressed through public regulation other than copyright, or through other means, such as the development of technical standards and norms. Private rightsholder concerns are just one of a number of societal concerns that have arisen in response to the emergence of AI.
  6. Noting that the development of generative AI models offers new opportunities for creators, researchers, educators, and other practitioners working in the public interest, as well as providing benefits to a wide range of activities across other sectors of society. Further noting that generative AI models are a tool that enables new ways of creation, and that history has shown that new technological capacities will inevitably be incorporated into artistic creation and information production.


We have formulated the following seven principles for regulating generative AI models in order to protect the interests of creators, people building on the commons (including through AI), and society’s interests in the sustainability of the commons:

  1. It is important that people continue to have the ability to study and analyse existing works in order to create new ones. The law should continue to leave room for people to do so, including through the use of machines, while addressing societal concerns arising from the emergence of generative AI.
  2. All parties should work together to define ways for creators and rightsholders to express their preferences regarding AI training for their copyrighted works. In the context of an enforceable right, the ability to opt out from such uses must be considered the legislative ceiling, as opt-in and consent-based approaches would lock away large swaths of the commons due to the excessive length and scope of copyright protection, as well as the fact that most works are not actively managed in any way.
  3. In addition, all parties must also work together to address implications for other rights and interests (e.g. data protection, use of a person’s likeness or identity). This would likely involve interventions through frameworks other than copyright.
  4. Special attention must be paid to the use of traditional knowledge materials for training AI systems including ways for community stewards to provide or revoke authorisation.
  5. Any legal regime must ensure that the use of copyright protected works for training generative AI systems for noncommercial public interest purposes, including scientific research and education, are allowed.
  6. Ensure that generative AI results in broadly shared economic prosperity – the benefits derived by developers of AI models from access to the commons and copyrighted works should be broadly shared among all contributors to the commons.
  7. To counterbalance the current concentration of resources in the the hands of a small number of companies these measures need to be flanked by public investment into public computational infrastructures that serve the needs of public interest users of this technology on a global scale. In addition there also needs to be public investment into training data sets that respect the principles outlined above and are stewarded as commons.

In keeping with CC’s practice to provide major communications related to the 2023 Global Summit held in Mexico City in English and Spanish, following is the text of this post originally created in English translated to Spanish

Hacer que la IA funcione para los creadores y los bienes comunes

En vísperas de la Cumbre Global CC, los miembros de la comunidad global CC y Creative Commons celebraron un taller de un día para discutir cuestiones relacionadas con la IA, los creadores y los bienes comunes. La comunidad que asiste a la Cumbre tiene una larga historia de albergar estas discusiones íntimas antes de que comience la Cumbre sobre temas críticos y oportunos.

Como resultado de esa profunda discusión y de la conversación posterior durante los tres días de la Cumbre, este grupo identificó un conjunto de cuestiones y valores comunes, que se recogen en la siguiente declaración. Estas ideas se comparten aquí para una mayor discusión comunitaria y para ayudar a CC y a la comunidad global a navegar por aguas inexploradas frente a la IA generativa y su impacto en los bienes comunes.

Consideraciones preliminares

  1. Reconociendo que en todo el mundo el estatus legal del uso de obras protegidas por derechos de autor para entrenar sistemas generativos de IA plantea muchas preguntas y que actualmente solo hay un número limitado de jurisdicciones con marcos legales relativamente claros y viables para tales usos. Vemos la necesidad de establecer una serie de principios que aborden la posición de los creadores, las personas que construyen y utilizan sistemas de aprendizaje automático y los bienes comunes, bajo este paradigma tecnológico emergente.
  2. Señalando que hay llamados de titulares de derechos organizados para abordar los problemas que plantea el uso de obras protegidas por derechos de autor para entrenar modelos de IA generativa, incluso basados en los principios de crédito, consentimiento y compensación.
  3. Observando que el desarrollo y despliegue de modelos generativos de IA puede requerir mucho capital y, por lo tanto, corre el riesgo de asemejarse (o exacerbar) la concentración de mercados, tecnología y poder en manos de un pequeño número de poderosas entidades con fines de lucro concentradas en gran medida en los Estados Unidos y China, y que actualmente la mayor parte del valor (especulativo) corresponde a estas empresas.
  4. Señalando además que, si bien la capacidad de todos para aprovechar los bienes comunes globales de información tiene muchos beneficios, la extracción de valor de los bienes comunes también puede reforzar los desequilibrios de poder existentes y, de hecho, puede parecerse estructuralmente a ejemplos anteriores de acumulación colonialista.
    1. Señalando que esta cuestión es especialmente urgente cuando se trata del uso de materiales de conocimientos tradicionales como datos de entrenamiento para modelos de IA.
    2. Señalando que el desarrollo de la IA generativa reproduce patrones de la era colonial, siendo los países del Sur Global consumidores de algoritmos y proveedores de datos del Norte.
  5. Reconocer que algunos impactos y riesgos sociales resultantes del surgimiento de tecnologías de IA generativa deben abordarse mediante regulaciones públicas distintas de los derechos de autor, o por otros medios, como el desarrollo de estándares y normas técnicas. Las preocupaciones de los titulares de derechos privados son sólo una de una serie de preocupaciones sociales que han aparecido en respuesta al surgimiento de la IA.
  6. Señalando que el desarrollo de modelos generativos de IA ofrece nuevas oportunidades para creadores, investigadores, educadores y otros profesionales que trabajan en el interés público, además de brindar beneficios a una amplia gama de actividades en otros sectores de la sociedad. Señalando además que los modelos generativos de IA son una herramienta que permite nuevas formas de creación, y que la historia ha demostrado que inevitablemente se incorporarán nuevas capacidades tecnológicas a la creación artística y la producción de información.


Hemos formulado los siguientes siete principios para regular los modelos de IA generativa con el fin de proteger los intereses de los creadores, las personas que construyen sobre los bienes comunes (incluso a través de la IA) y los intereses de la sociedad en la sostenibilidad de los bienes comunes:

  1. Es importante que la gente siga teniendo la capacidad de estudiar y analizar obras existentes para crear otras nuevas. La ley debería seguir dejando espacio para que las personas lo hagan, incluso mediante el uso de máquinas, al tiempo que aborda las preocupaciones sociales que aparecen por el surgimiento de la IA generativa.
  2. Todas las partes deberían trabajar juntas para definir formas para que las personas creadoras y quienes son titulares de derechos expresen sus preferencias con respecto a la capacitación en IA para sus obras protegidas por derechos de autor. En el contexto de un derecho exigible, la capacidad de hacer un “opt out” de tales usos debe considerarse el límite legislativo, ya que los enfoques basados en la aceptación voluntaria y el consentimiento bloquearían grandes sectores de los bienes comunes debido a la duración y el alcance excesivos de la protección de los derechos de autor, así como el hecho de que la mayoría de las obras no están siendo activamente gestionadas.
  3. Además, todas las partes también deben trabajar juntas para abordar las implicaciones para otros derechos e intereses (por ejemplo, protección de datos, uso de la imagen o identidad de una persona). Esto probablemente implicaría intervenciones a través de marcos distintos del derecho de autor.
  4. Se debe prestar especial atención al uso de materiales del conocimiento tradicional para entrenar sistemas de IA, incluidas formas para que los custodios de las comunidades proporcionen o revoquen la autorización.
  5. Cualquier régimen legal debe garantizar que se permita el uso de obras protegidas por derechos de autor para entrenar sistemas generativos de IA con fines no comerciales de interés público, incluidas la investigación científica y la educación.
  6. Garantizar que la IA generativa dé como resultado una prosperidad económica ampliamente compartida: los beneficios que obtienen los desarrolladores de modelos de IA del acceso a los bienes comunes y a las obras protegidas por derechos de autor deben compartirse ampliamente entre quienes contribuyen a los bienes comunes.
  7. Para contrarrestar la actual concentración de recursos en manos de un pequeño número de empresas, estas medidas deben ir acompañadas de inversión pública en infraestructuras computacionales públicas que satisfagan las necesidades de los usuarios de interés público de esta tecnología a escala global. Además, también es necesario invertir públicamente en sets de datos de entrenamiento que respeten los principios descritos anteriormente y se administren como bienes comunes.

Chan Zuckerberg Initiative Funds New Project to Openly License Life Sciences Preprints

A black Chan Zuckerberg Initiative wordmark and red “cz” logo next to a black Creative Commons logo.
CZI brand marks used by permission from the Chan Zuckerberg Initiative.

Today, Creative Commons (CC) is excited to announce new programmatic support from the Chan Zuckerberg Initiative (CZI) to help make openly licensed preprints the primary vehicle of scientific dissemination.

“We are delighted to have been awarded this new grant to help us leverage our expertise to make life sciences research more open and accessible,” said Catherine Stihler, CC CEO. “From open review to translation to AI and machine-learning applications, realizing the full potential of preprints is predicated on them being openly licensed.”

The eighteen-month grant will enable CC to collaborate with CZI on a project focused on significantly increasing use of the CC BY 4.0 license on preprints in the life sciences by working with funders, preprint servers, and other preprint stakeholders.

“Preprint servers have seen a marked increase in uploads across many scientific disciplines, particularly in the life sciences1, spurred by recognition of the importance of timely, open access to research results during the COVID-19 pandemic,” said Dario Taraborelli, Science Program Officer at CZI. “Preprints are not only a faster pathway to the dissemination of research results, they also enable the development of an entire scholarly communication ecosystem around them. We are excited to partner with CC to further develop and strengthen this ecosystem and bring together funders, institutions, preprint servers, and other stakeholders to promote openly licensed preprints.”

“We are so pleased to have our open access research work further supported by CZI,” said Cable Green, CC Director of Open Knowledge. “Opening preprints is essential to our strategy to support better sharing, which includes helping scientists open and share all the components of their research — without long publication timelines — to support access, text and data mining, reproducibility, and further inquiry.”

This work will complement activities already underway with CC and our partners in the Open Climate Campaign, a multi-year project to promote open access to research to accelerate progress towards solving the climate crisis and preserving global biodiversity, and our Open Climate Data Project, an initiative to help open large climate datasets.

1. See

Deborah De Angelis — Open Culture VOICES, Season 2 Episode 27

“Open access is essential for education, innovation, and cultural participation.” Deborah believes that cultural heritage institutions such as libraries, archives, and museums are not just responsible for the preservation of material but in the access and promotion of material for the public good. Institutions should can choose to make their material available online and these policies can help culture to flourish.

Open Culture VOICES is a series of short videos that highlight the benefits and barriers of open culture as well as inspiration and advice on the subject of opening up cultural heritage. Deborah is an independent lawyer who advocates for open access policies in Italy as the CC Italy Chapter Lead. Italy is known for cultural heritage laws that restrict accessibility which Deborah, CC Italy, and Creative Commons regularly discuss in blog posts and other material.

Deborah responds to the following questions:

  1. What are the main benefits of open GLAM?
  2. What are the barriers?
  3. Could you share something someone else told you that opened up your eyes and mind about open GLAM?
  4. Do you have a personal message to those hesitating to open up collections?

Closed captions are available for this video, you can turn them on by clicking the CC icon at the bottom of the video. A red line will appear under the icon when closed captions have been enabled. Closed captions may be affected by Internet connectivity — if you experience a lag, we recommend watching the videos directly on YouTube.

Want to hear more insights from Open Culture experts from around the world? Watch more episodes of Open Culture VOICES here >>

CC’s #BetterSharing Collection | October: Better Sharing, Better Future

An illustration of 16 diverse cartoon people in a circle all looking at screens that are connected via glowing network lines on a glittering teal background, with white text in the center: BETTER SHARING BETTER FUTURE.
Better Sharing, Better Future” by Maria Picassó i Piquer for Creative Commons and Fine Acts is licensed via CC BY-SA 4.0.

As part of our #20CC anniversary, last year we joined forces with Fine Acts to spark a global dialogue on what better sharing looks like in action. Our #BetterSharing collection of illustrations was the result — we gathered insights from 12 prominent open advocates around the world and tasked 12 renowned artists who embrace openness with transforming these perspectives into captivating visual pieces available under a CC license.

Each month throughout 2023, we will be spotlighting a different CC-licensed illustration from the collection on our social media headers and the CC blog. For September, we’re excited to showcase “Better Sharing, Better Future” by Spanish illustrator, Maria Picassó i Piquer. The piece, licensed under CC BY-SA 4.0, was inspired by a quote from Kyle Smith, CC Canada member & member of LexDAO and Fellow in Gitcoin’s KERNEL incubator:

“Better Sharing, Brighter Future means continuing Jobs’s ‘bicycle of the mind’ dream with modern ‘IoT’ general purpose machines like Raspberry Pi so we can unleash the latent power of humanity and innovate ourselves out of this fossil-fuel-driven climate crisis.”

Meet the artist

Headshot of Maria Picassó i Piquer wearing a dark flowered top, looking to their right in front of some distant buildings.
Maria Picassó i Piquer” used by permission of

Maria is a Catalan artist born in 1983. She graduated in Architecture and soon left her office job to be a full-time illustrator, her lifetime passion. Navigating between design and illustration, her works cover a wide variety of supports such as magazines, books, clothing and video games published worldwide. She’s got a passion for distilling faces down to their most recognisable essence. Her recognizable geometric caricatures have led her to be a guest speaker in various conventions in both Europe and USA.

Follow Maria on Instagram: @maria_picasso_piquer

The full #BetterSharing collection is available on to be enjoyed, used and adapted, and then shared again, by anyone, forever.

View the full collection >>

Francisco “Tito” Rivas to Keynote CC Global Summit 2023

[lee esta entrada en español >]

A headshot of Francisco J. Rivas Mesa, smiling in front of an artwork on a wall and wearing eyeglasses and a gray top.
Used by permission from the Ministry of Culture of Mexico.

We have an incredible group of people lined up to be keynote speakers at the 2023 CC Global Summit, to be held 3–6 October in Mexico City. In our first announcements, we welcomed writer Anya Kamenetz and Māori media leader Peter-Lucas Jones. We are deeply honored to announce that the Summit’s opening keynote will be from Francisco J. Rivas Mesa, also known by his stage name Tito Rivas. Francisco is a sound artist, musician, researcher, cultural leader, and General Director of Mexico’s National Sound Archive, who will speak on global culture from the deeply rooted perspective of Mexico and Latin America.

Francisco J. Rivas Mesa has a degree in Audiovisual Communication from the Universidad del Claustro de Sor Juana and in Philosophy from the Universidad Nacional Autónoma de México (UNAM). He is a candidate for a Doctorate in Musical Technologies from the Faculty of Music of UNAM. He has a Diploma in Executive Training for Cultural and Museum Leaders (ILM, Universidad Iberoamericana). His work has focused on experimentation with sound, visual and performative media as a creator, researcher and cultural manager. He has also been interested in strategies to produce social and ethical access to archives and their reuse for educational and cultural purposes. He has been a professor of subjects on sound and audiovisual creation in academic institutions and as a creator and curator his work has been presented and exhibited in various national and international venues and festivals. He has also published specialized articles on sound phenomenology and the archeology of listening. He is a member of the Sound and Listening Studies Network (RESEmx) and the Scientific Committee of the Mexico Acoustic Ecology Network (REAmx). He was part of the team that inaugurated Mexico’s National Sound Archive in 2008 as head of the Sound Research and Experimentation department and as Deputy Director of Sound Promotion and Dissemination. He was curator of the Espacio Sonoro de Casa del Lago (UNAM) and director of the Ex Teresa Arte Actual museum of INBAL. He is currently general director of the National Sound Archive of Mexico and president of the Ibermemoria Sonora, Photographic and Audiovisual Program.

Like Francisco, all our keynoters connect directly with CC’s areas of focus, from contemporary creativity and cultural heritage, to media, science, education, and journalism. With the Summit’s theme of AI and the commons, we also expect to be challenged with new and reborn perspectives that we should consider in thinking about artificial intelligence and its intersection with open knowledge and culture. All the Summit keynotes will honor both the Summit’s location in Mexico, and the CC community’s global scope.

We invite you to join us at the Summit in Mexico City to hear Francisco and many other diverse voices speak. Our hope is that the keynote addresses, the full Summit program, and our informal connections in Mexico City and online will combine to enable us all to cultivate CC’s strategy of better sharing, sharing that is contextual, inclusive, just, equitable, reciprocal, and sustainable.

Register for the CC Global Summit >