Decolonizing AI: Intersectional, Feminist & Ecological Literacy for Academics

As AI reshapes research across disciplines, its deployment often reproduces systemic inequalities, epistemic violence, and ecological harm — placing universities under pressure to respond. I present a tested prototype for critical AI literacy, developed at Freie Universität Berlin, designed as a 2-hour crash workshop for academics.

This is not a technical tutorial — it’s a pedagogical intervention that positions AI not as a neutral tool, but as a site of political, epistemic, and ecological contestation. The workshop integrates:

Bias auditing pipelines — to surface and interrogate algorithmic discrimination
CO₂ estimation for AI workflows — to make ecological costs visible and actionable
Mitigation of AI hallucinations & fake epistemologies — through interpretive, context-aware evaluation
Use of academic, non-hegemonic, European, feminist, and open-source models — deliberately moving beyond ChatGPT, Claude, and other US-corporate AI that reproduce global inequalities
Human-centered evaluation — treating AI outputs as interpretive data points, not authoritative answers
The prototype is designed to be co-developed, adapted, and scaled — and I am seeking host universities across Europe to invite me to run this lab with their students, faculty, or research groups. All collaborators will be acknowledged in resulting publications and presentations.

This session is an invitation to join a growing network of institutions committed to responsible, critical, feminist, and intersectional AI education — not as an add-on, but as a core competency for 21st-century academia.

👥 Target Audience

Faculty, BA/MA students, Professors, Research Groups, Feminist Scholars, BIBOC Communities, AI Ethics Officers, University Administrators — especially those interested in piloting critical AI literacy at their institution.

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