Kasia Odrozek

Kasia Odrozek

Kasia Odrozek

Kasia Odrozek advocates for ethical, inclusive, and human-centered innovation.

Kasia Odrozek, an NGI Evangelist and leader at the Mozilla Foundation, brings her passion for technology and ethics to the NGI Community. Based in Berlin, she heads a team focused on ensuring AI serves society responsibly. With a background spanning open culture, ethical tech, and human rights, Kasia advocates for inclusive innovation that challenges profit-driven models. Through her work with Mozilla and initiatives like Zebras Unite, she remains dedicated to fostering a digital landscape centred on human values. 


Following this, a brief excerpt from each article linking to the content hosted in the Community:

What is inevitable about AI?

Generative AI has transformed technology, but who decides its path? In her blog, NGI Evangelist Kasia challenges the “inevitability” of AI’s trajectory and advocates for Public Interest AI—a vision where AI serves people, not just profits. She explores the risks of unchecked corporate control, the value of AI as a shared public resource, and the need for ethical, inclusive innovation to shape a future where AI reflects human values.

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The Open Web-AI Data Paradox

The open web plays a critical role in creating transparent, equitable datasets essential for building AI systems that serve the public good. However, current practices—like unconsented scraping—threaten its value, undermining data diversity and accessibility. In this blog, NGI Evangelist Kasia explores the urgent need for ethical, sustainable AI data practices that preserve the open web, emphasizing the creation of AI data commons to ensure inclusivity, fairness, and accountability. 

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Reimagining Dataset Governance for LLM Training 

How can we govern datasets for AI training in a way that’s fair, inclusive, and respects contributors? NGI Evangelist Kasia delves into the complexities of dataset governance, calling for solutions like nuanced, reversible consent, distributed decision-making, and equitable data sovereignty. Highlighting real-world examples like Te Hiku Media and Mozilla’s Common Voice, she envisions a future where communities contributing data share in the benefits of AI while safeguarding their cultural and creative rights. 

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Publication Date

10/12/2024

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