An AI of Our Own

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2025 Year in Review: Manifesto, Pilots, and More
Tatenda is sitting listening to a community member speak

As we ring in 2026, it’s time to look back at everything that happened in 2025. It was an incredible year of finding our place and path, in a landscape that is always changing and evolving.

We started the year with our Manifesto working group, six individuals with diverse expertise and backgrounds: Arthur Gwagwa, PhD., Bobina Zulfa, Malik Afegbua, Talal Rahwan, Tanya Dutt, Yasir Zaki, and Sameer Raina. Over the course of 3 sessions and a brainstorming workshop, they helped us articulate how our principles and values could become tangible and practical actions in the development of a community-centered AI. You can find the Manifesto here.

The Manifesto built off the Landscape Research Report, which we also published publicly in March. The research mapped existing digital heritage projects and leading individuals and companies in the fields of ethical AI and cultural heritage in Asia and Africa.

We launched the Manifesto at the Culture Summit in Abu Dhabi, where we also curated a panel “Transmission by Avatar,” with Martin Puchner, Federico Castanedo, Ph.D, Pelonomi Moiloa, and Suhair Khan as panelists. At the same time, we also launched the AAOO website and logo, with thoughtful design by Lakshay Kumar.

In April we welcomed two new members to the team, Tatenda Tavingeyi as Project Coordinator and Sadik Shahadu as Communications and Partnerships Coordinator. They worked with us throughout the year, bringing their own expertise and interest to help direct the next steps.

In the summer we received a grant from the Open Knowledge Foundation to work with the Open Data Editor. We started working with communities in East London South Africa and Cambodia to gather data for a pilot prototype, exploring what community-centered data collection and co-development actually means. We looked at plant-based indigenous knowledge systems in South Africa, and Ikat Weaving and Buddhist Smot chanting in Cambodia.

Throughout the fall, as data collection continued, we worked with graduate students at UCLA with Cindy Anh Nguyen to transform the data into working prototypes. We pondered what data protection looks like in our community-centered context and created our own data and model license. We also collaborated with Melon Rouge Agency to improve human-centered research and design, working towards a methodological framework for ethical data collection in a cultural heritage context.

Along the way, our team members attended conferences and kept the conversations going. We had the opportunity to curate a panel for ICCROM to share the learnings of the pilot project: entitled “Ctrl+S Culture: AI and Heritage in a Digital World,” it was moderated by Selin Nugent of Oxford Brookes University and our team member Tatenda, in conversation with Mutanu Kyanya from African Digital Heritage.

In December, we also organized an interactive webinar with our community and UNESCO, where the facilitator of the expert group on AI and culture for Mondiacult shared their report and findings.

Finally, we recently received a grant from Mozilla Foundation to provide culturally and contextually grounded contributions to the Common Voice Public API project in Khmer and Dagbani.

In 2026, we look forward to much more – such as preparing a toolkit based on the methodological framework for ethical data collection we’ve been developing, advancing the prototypes, and much more. If you’re interesting to connect with us, please do reach out here or via info@aaoo.ai!

FEATURED IMAGE: Project Coordinator Tatenda meets with community members in East London, South Africa, during field visits for data collection as well as to understand community perspectives on AI and heritage.

Release of the Landscape Research Mapping

Following the initial concept note workshop, the team felt it was necessary to understand the
landscape around digital heritage and AI in Africa and Asia to better position the new initiative.
Over the course of three months, a small research team explored close to two hundred different
initiatives, projects, and individuals working in the field of digital heritage and AI. They
conducted about twenty interviews as well.

The research covered three main tracks: digital heritage initiatives, leading voices in AI and
cultural heritage, and projects around ethical/community-driven AI. The final report covered the
key findings, such as the tendency for digital heritage projects to be repositories or archives
only, an analysis of the key challenges, best practices drawn from the various identified projects,
and reflections and recommendations for community-driven approaches.

The key takeaways of the report were:

  • AAOO currently has a unique positioning in the field and is seen as necessary and timely by peers and colleagues, however, due to the fast moving nature of the field, it may not stand on its own for long.
  • AAOO’s approach to bringing together both tech and culture experts to work collaboratively is one of its most unique and interesting aspects as noted in the introductory calls.
  • Going forward, it will be important for AAOO to adopt a mixed approach of both theory and practice, addressing the methodological and philosophical questions of designing a Global South focused AI as well as the practical implications and end use cases.
  • It is necessary to define concretely what we mean by AAOO and develop a set of guidelines or manifesto against which we can evaluate practical projects.

You can read the full report here.

The outcomes of the Landscaping research led directly to the formation of the working group
and development of the Manifesto, which you can read here.

June 2025 – Launch of AAOO Consortium

One of the key strategic goals of AAOO is to build a global consortium of individuals and
institutions – essentially, a space to share resources, knowledge, strategy, and efforts to
advance shared principles and values that are at the heart of AAOO’s work: community
centered AI, culturally driven AI, equitable representation in AI systems of global south cultures,
etc. We chose the name “Consortium” as it implies a sense of separate nodes working together
to advance common goals. This is a key element of our work as we understand the problems
we are tackling are so huge no one organization could solve them alone, and connecting across
the global south has always been a key strategic goal of Living Arts International.

The Consortium officially launched through two online calls in June, bringing together a total of
11 different individuals. We aim to create online platforms for exchange, but in the meantime
plan for monthly knowledge sharing calls to network and explore best practices.

If you are interested in being part of the AAOO consortium, please fill this form and we’ll be in
touch!

June 2025 – AAOO selected for Open Data Editor Global Cohort

In June 2025, AAOO was selected as one of 5 projects as the 2nd cohort piloting the launch of
Open Knowledge’s Open Data Editor (ODE), in particular focusing on the new addition of “a
responsible, offline AI feature designed to support users in spotting anomalies, patterns, and
inconsistencies — all while respecting privacy, transparency, and human oversight.” (Source)

AAOO will connect the work with ODE to the ongoing pilot prototypes in South Africa and
Cambodia around gathering clean, community sourced datasets (see more on our Projects
page).

Read more about the project and other members of the cohort here.

AAOO at the 7th Culture Summit Abu Dhabi

In May, the An AI of Our Own (AAOO) team took part in the 7th Culture Summit in Abu Dhabi,
where AI was a key theme under the broader focus of “Culture for Humanity and Beyond.”
Project Lead Phloeun Prim moderated two impactful sessions. The first, a workshop titled “An AI
of Our Own: Manifesto for Multicultural and Inclusive AI,” marked the public launch of the AAOO
Manifesto and invited participants to explore its principles and practical applications.

The second, a panel discussion on “Transmission by Avatar: From Oral to Digital Knowledge,”
examined how AI can honor oral traditions and ancestral knowledge systems. Speakers
emphasized the risks of cultural erasure, the limitations of text-based AI training, and the need
for inclusive, community-rooted innovation that sustains diverse ways of knowing.