Speaker

Natalia-Rozalia Avlona

Natalia-Rozalia Avlona

University of Copenhagen, Postdoctoral Researcher & lawyer

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Natalia-Rozalia Avlona is a lawyer and Postdoctoral Researcher for the ERC-funded DataSpace project at the Department of Public Health, University of Copenhagen. She recently completed her PhD in Computer Science at the University of Copenhagen as a Marie Skłodowska-Curie Fellow within the DCODE project. Her research focuses on the responsible development and deployment of AI systems in high-risk domains, particularly in healthcare.
She extensively employs qualitative methods, such as ethnography and action research, with the long-term aim of designing a transdisciplinary space of mutual elucidation between how policymakers envision and regulate data-driven technologies and how the established regulatory frameworks both facilitate and constrain the workflows of computer scientists and domain experts.
Natalia's academic background includes law studies at the National and Kapodistrian University of Athens (2006) and an LLM in Human Rights Law from King’s College London (2007). She also pursued coursework in the Department of Geography at Royal Holloway, University of London, and in the Department of Curating Contemporary Art at the Royal College of Art.
Specialising in the intersection of emerging technologies, law, and society, she has worked for over a decade on the legal and ethical implications of emerging technologies. She has held positions in several organisations and European research programmes across the UK, Belgium, Greece, and Cyprus, including the Future Emerging Technologies Unit (DG CONNECT, European Commission), the Royal College of Art, the University of Nicosia, Aristotle University of Thessaloniki, the Organisation of Industrial Property in Greece, the General Secretariat for Gender Equality, and the Greek Universities Network (GUnet). Before joining the University of Copenhagen, she was a Research Fellow at the Hellenic Foundation for European & Foreign Policy (ELIAMEP), where she led the AMIF ATHENA research programme.
From 2019 to 2021, she also worked as a researcher for the Horizon 2020 project TARGET: Taking a Reflexive Approach to Gender Equality for Institutional Transformation.
She is currently a member of the Management Committee of the Cost Action Platform Work Inclusion Living Lab (P-WILL). and previously of the COST Action From Sharing to Caring (CA16121). In 2020, she co-founded the techno-feminist hacking network Restorative Infrastructures.
Beyond her academic work, Natalia is deeply committed to feminist ethics and activism in the commons and Social and Solidarity Economy. She has run workshops on Wikipedia for the Galleries, Libraries, Archives, and Museums (GLAM) sector; co-organised feminist workshops on FOSS at Hackerspace.gr (Django Girls Athens), techno-feminist festivals (/EtcAthens), and (un)conferences on the commons. She has also delivered seminars on gender and open technologies, as well as gender and SSE. During the COVID-19 pandemic, she co-initiated Emergency Making Aid, a local bottom-up initiative of makers, architects, and researchers that produced and donated 3D-printed protective equipment to public hospitals.

Area of Expertise

  • Information & Communications Technology
  • Law & Regulation

Copycats and the Commons: Governing Open Data for Trustworthy AI

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The proliferation of open data on Community-Contributed Platforms (CCPs) is often championed as a democratizing force for AI innovation. In high-stakes domains like healthcare, this narrative of data as an inherent public good (Zuiderwijk & Janssen, 2014) obscures the complex socio-technical and legal realities of data governance. This talk critically examines the lifecycle of publicly available medical imaging (MI) datasets, investigating the ""copycat"" phenomenon—the uncontrolled duplication and modification of datasets. Our research reveals systemic governance failures, including vague licenses (Longpre et al., 2023), missing persistent identifiers, and the loss of critical metadata. We argue these are symptoms of a model that ignores the essential, ongoing ""data work"" (Sambasivan et al., 2021) and stewardship required to maintain a healthy data ecosystem (Avlona 2025, forthcoming), (Jiménez-Sánchez et al., 2024).

While normative frameworks like the FAIR principles (Wilkinson et al., 2016) and documentation standards (Gebru et al., 2021) provide valuable guidance, their implementation is a resource-intensive achievement, not a default state. The current CCP ecosystem relies on this hidden labor without providing the necessary infrastructure or incentives to support it, leading to a deterioration of data as a common good and posing significant risks—such as data cascades (Sambasivan et al., 2021)—for the development of safe and equitable AI (Avlona, 2025, forthcoming). This talk concludes by proposing a shift from ""passive"" open data hosting to active, Commons-based governance (Hess & Ostrom, 2003; Purtova, 2015). We advocate for sustainable stewardship models to make the work of maintaining data quality visible, accountable, and properly resourced, thereby ensuring the public value of open data is actively produced and protected (Jiménez-Sánchez et al., 2024).

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Natalia-Rozalia Avlona

University of Copenhagen, Postdoctoral Researcher & lawyer

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