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Data accessibility and reliability are central to responsible AI development

The Data for AI program explores innovative approaches to promote data for AI being collected, used, shared, archived, and deleted in ways that are consistent with human rights, inclusion, diversity, innovation, economic growth, and societal benefit, while also addressing the UN Sustainable Development Goals.

The impact of data collection and use on our daily lives is significant. Despite this, we often underestimate the value of data in advancing AI. Data is present throughout the AI lifecycle, from development to deployment, and its dimension as a representation of information about the world is crucial to responsible data governance. Since 2020, CEIMIA has led and continues to lead many projects using the data governance lens.

The mission of the Data for AI program is to assess means of collecting and managing data responsibly, specifically considering the situation of parties that are either associated with the origin and/or context of the data, or, that may otherwise be affected by the use of the data. Projects in this program seek to collate evidence, shape research, and undertake applied projects to further data governance efforts for data for AI.

Projects

Scaling responsible artificial intelligence solutions

Ongoing

Providing support and mentorship for development teams from diverse backgrounds who are struggling to scale their responsible AI solutions.

Well-governed data availability and access for artificial intelligence: Demonstrating the practical use of privacy-enhancing (and adjacent) technologies

Ongoing

Utilizing privacy-enhancing technologies to overcome data barriers for social good

The role of governments as a provider of data for artificial intelligence

Ongoing

Supporting governments in enabling AI innovation through responsible data stewardship.

From co-generated data to generative artificial intelligence: New rights and governance models in digital ecosystems

Ongoing

Rethinking governance models, collective data rights and ownership in digital ecosystems, in the context of ethical AI deployment for public good.

Enabling data sharing for social benefit through data institutions

Ongoing

Community-based co-design of trustworthy data institutions for enabling the development of responsible AI applications.

Advancing research and practice for data justice

Ongoing

Unleashing data justice by empowering communities through fairness and accountability.
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    Meet the CEIMIA team

    Through a unique collaborative structure, CEIMIA is a key player in the development, funding and implementation of applied AI projects for the benefit of humanity.

    Team

    Getting involved with CEIMIA

    Good reasons to collaborate

    Getting involved with CEIMIA means contributing to the responsible development of AI and data governance. Give your organization the opportunity to establish a unique position within the GPAI. Benefit from collaboration with international experts from academia, private industry and civil society in the AI and health sector.

    We attach great importance to collaboration with our partners, providing a competent team for structuring, financing and managing projects, capable of gracefully navigating the entrepreneurial environment. At CEIMIA, the spirit of openness and inclusion in the development and implementation of AI projects for the benefit of humanity is very important to us. We suggest concrete solutions with international visibility to address the challenges of data for artificial intelligence, such as demonstrating practical use of privacy-enhancing technologies, guiding governments on their role as a provider of data for AI, etc.

    If you share our passion and commitment to these projects, or have a data-related project idea for AI to discuss, contact us now!

    Contact

    Getting involved