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SUMMARY:Hidden Inequality: Why We Need to Talk About AI in the Global South with Renata Frade | AI & Equality Open Studio
DESCRIPTION:Artificial Intelligence systems increasingly shape social participation\, labor\, visibility and access to rights. However\, the social impacts of AI are uneven\, often reinforcing existing inequalities — particularly for women and communities in the Global South. \nThis 30-minute talk is grounded in two complementary research trajectories:\n(1) extensive digital ethnography with 247 women-led technology communities\, focused on platforms\, communication\, participation and power (not AI-specific)\, and (2) parallel academic studies on AI\, inequality and the Global South\, examining how automated systems interact with structural asymmetries\, governance gaps and cultural contexts. \nRather than presenting a technical or proprietary AI framework\, the talk offers critical insights and reflective lenses on how AI becomes socially invisible\, how inequality is reproduced through discourse and design\, and why communication is central to a human-rights-based approach to AI. \nKey Themes:\n\nWhat Platform Research Reveals About Power and Visibility\nInsights from digital ethnography with 247 women-led tech communities\nPatterns of participation\, exclusion and symbolic inclusion in digital platforms\nWhy these dynamics matter when AI is introduced into social and institutional systems\nAI and Inequality from a Global South Perspective\nFindings from research on AI\, gender and structural inequality in the Global South\nAsymmetries in data\, labor\, governance and technological dependency\nThe risks of applying “universal” AI solutions without contextual grounding\nCommunication as a Human Rights Issue in AI Systems\nHow language\, interfaces and narratives shape accountability\nWhy transparency alone is insufficient without accessibility and participation\nThe role of critical literacy in rights-based AI approaches\n\n\n🔗 Explore publication: Frade\, R.\, Wajcman\, J. (2023). “Feminism and Technology: an interview with Dr. Judy Wajcman by Renata Frade”. In Technofeminism: multi and transdisciplinary contemporary views of women in technology.  https://doi.org/10.48528/0wyd-p294 \nAbout the speaker:\nI am an interdisciplinary feminist researcher with deep experience in advancing feminist\, decolonial\, and participatory ethics in technology\, particularly across Latin American and Lusophone contexts. My doctoral research mapped and analyzed 247 communities of women in technology in Brazil and Portugal\, applying participatory and justice-oriented methods designed to center marginalized voices—often those of adolescents and youth in vulnerable contexts. Through projects such as Fiocruz Hack Girls and the LitGirlsBr platform\, I have engaged directly with adolescent participants\, developing empowering digital literacy and inclusion programs.\n\nI have acted as co-editor and lead organizer for several transnational research outputs\, including the collective volume “Technofeminism” and global solidarity events like the WeColloquium at ISEG\, Lisbon. My work always seeks to foreground community voices\, relational ethics\, and participatory decision-making\, including direct experience with reviewing and designing ethical frameworks for HCI and responsible AI\, both within and outside formal IRB structures. Noted for mapping and empowering women-in-tech communities\, producing influential feminist research\, and engaging in ethics\, justice\, and participatory action.\n\nExperienced in editorial leadership\, transmedia projects\, and collective knowledge-making in both academic and NGO settings (such as Girls in Tech Brazil).\n\n\n\nRegister here via our community on Circle
URL:https://aiequalitytoolbox.com/event/hidden-inequality-why-we-need-to-talk-about-ai-in-the-global-south-with-renata-frade-ai-equality-open-studio/
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DTSTART;TZID=Europe/London:20260625T150000
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DTSTAMP:20260415T040440
CREATED:20260218T104436Z
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SUMMARY:Testing AI Safety: Why Current Guardrails Fail to Stop Social Bias with Anna-Maria Gueorgiueva | AI & Equality Pub-Talk
DESCRIPTION:Access paper: https://arxiv.org/abs/2512.19238 \nHow do large language models understand the lived experiences of stigmatized groups\, and when does this understanding differ from the human perspective? Can this lead to bias\, and if so\, do our existing safety tools help mitigate such bias? This work investigated open-source language models for bias against 93 stigmatized groups\, identifying that specific types of biases (especially those deemed by humans to be ‘threatening’ such as having HIV or a criminal record) experience significantly more bias than other types of stigmatized identities. To attempt to remedy this\, we test guardrail models\, models from leading technology companies that are meant to identify discriminatory or bias-eliciting inputs and mitigate harmful outputs. This talk will report on our findings\, identifying where existing guardrail models fail and discussing technical and legal solutions. \nAbout the speaker:\nAnna-Maria Gueorguieva is a PhD student at the University of Washington Information School and holds B.A. in Data Science and Legal Studies from UC Berkeley. Her research focuses on AI evaluations for social and political impacts and AI regulation. Her work lies at the intersection of empirical methods to investigate AI usage and behavior in combination with the necessary AI regulations needed to limit and remedy harm.\n\n\n\n\n\n\n\n\n\n\n\nRegister here via our community on Circle
URL:https://aiequalitytoolbox.com/event/testing-ai-safety-why-current-guardrails-fail-to-stop-social-bias-with-anna-maria-gueorgiueva-ai-equality-pub-talk/
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DTSTART;TZID=Europe/London:20260630T150000
DTEND;TZID=Europe/London:20260630T160000
DTSTAMP:20260415T040440
CREATED:20260218T104809Z
LAST-MODIFIED:20260218T104836Z
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SUMMARY:Moving Beyond Big Tech: Blueprints for Community-Led Language AI with Claudia Pozo | AI & Equality Pub-Talk
DESCRIPTION:Paper: TBD (available in June) \nThe digital world suffers from a profound linguistic disparity\, particularly in Africa where a lack of local language content and traditional\, Global North-led language technology models fail to meet community needs\, often resulting in data extraction and inequitable solutions. In an 18-month research project\, in collaboration with the Distributed AI Research Institute (DAIR)\, we highlight a powerful alternative: a growing grassroots movement of community-based language technology initiatives across Africa that adopt a bottoms-up approach\, prioritizing local needs and incorporating indigenous philosophies. This approach centers technology as an act of collective creation and community survival\, yet it faces significant challenges\, including a heavy reliance on Global North funding that can conflict with goals for self-determination and critical concerns around data governance and ownership in regions with underdeveloped legal frameworks. Ultimately\, the research advocates for a fundamental shift in technological practice to support these community-centered development models\, providing blueprints for the Global Majority to decolonize AI. \nAbout the speaker:\nClaudia Pozo is Language Justice Co-Lead at Whose Knowledge? She’s a South American brown feminist\, multifaceted activist\, researcher\, social scientist and strategist\, whose work is grounded in knowledge and language justice. She holds an MPhil in Development Studies and a BA in Communications. \n\n\nRegister here via our community on Circle
URL:https://aiequalitytoolbox.com/event/moving-beyond-big-tech-blueprints-for-community-led-language-ai-with-claudia-pozo-ai-equality-pub-talk/
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