This talk explores the entanglements between bio-socio-algorithmic assemblages. It contends that alternative models of the world require alternative approaches to technological development grounded in an ontology of care. Drawing upon the onto-epistemologies of indigenous thinkers, the talk acknowledges the diverse pathways being forged by indigenous communities in the territory of Abya Yala towards a future that embraces pluriversality and communality. It underscores the imperative of nurturing and preserving the intricate web of interdependencies constituting life on Earth.
Paola Ricaurte is an associate professor in the Department of Media and Digital Culture at Tecnológico de Monterrey and faculty associate at the Berkman Klein Center for Internet & Society at Harvard University. Alongside Nick Couldry and Ulises Mejías, she co-founded Tierra Común, a network of academics, practitioners and activists interested in decolonizing data. She is a member of the Alliance for Inclusive Algorithms and leads the Latin American and Caribbean hub of the Feminist AI Research Network. In addition to her academic work, she participates in civil society initiatives to promote digital rights, the development of public interest technologies, and the dissemination of the ecosocial impacts of technological development.
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Associate Professor, Department of Media and Digital Culture at Tecnológico de Monterrey
Paola is an Associate Prof in the Department of Media and Digital Culture at Tecnológico de Monterrey and Faculty Associate at the Berkman Klein Center for Internet & Society at Harvard University
Lecturer in AI, Government & Policy
Ana Valdivia is a critical artificial intelligence scholar. Her research explores how datafication and algorithmic governance shape social, economic and political worlds. Her work focuses on the role of technology in the fields of migration & gender.
DPhil Student
Boxi (bor-shi) is a DPhil researcher at the Oxford Internet Institute and a Research Policy Consultant with the OECD’s AI Policy Observatory (OECD.AI).
