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X-WR-CALDESC:Events for A+ Alliance
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TZID:Europe/Moscow
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DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;TZID=Europe/Moscow:20251006T160000
DTEND;TZID=Europe/Moscow:20251006T170000
DTSTAMP:20260530T011518
CREATED:20250828T093812Z
LAST-MODIFIED:20250828T103135Z
UID:24934-1759766400-1759770000@aplusalliance.org
SUMMARY:The African AI & Equality Toolbox Webinar 2: System Requirements
DESCRIPTION:In many African AI deployments\, system requirements are defined by international technical partners or funders\, often without fully understanding the day-to-day realities of use. This leads to design choices—like requiring high-speed internet\, English-only interfaces\, or complex interfaces—that make tools ineffective or even harmful. \nThis webinar looks at how requirement setting should function as a bridge between vision and use: Aligning system features with cultural context\, infrastructure gaps\, and social expectations; Identifying constraints early on—connectivity\, literacy\, consent\, power dynamics—and building around them and making conscious trade-offs between speed\, scale\, and equity. \n  \nThe African AI & Equality Toolbox is a strategic initiative designed to empower African stakeholders—policymakers\, technologists\, civil society actors\, and communities—to shape Artificial Intelligence (AI) systems that are contextually relevant\, inclusive\, and grounded in human rights. \nDeveloped by Women at the Table and the African Centre for Technology Studies (ACTS)\, and adapted from the global AI & Equality Human Rights Toolbox Initiative in collaboration with the UN Office of the High Commissioner for Human Rights (OHCHR)\, this African iteration provides practical tools and methodologies to guide equitable AI development across the continent. \nThe Toolbox applies a Human Rights-based AI Lifecycle Framework\, integrating reflective questions and the Human Rights Impact Assessment (HRIA) developed with the Alan Turing Institute. It emphasizes participatory\, multidisciplinary approaches and is rooted in feminist\, decolonial\, and Justice\, Equity\, Diversity\, and Inclusion (JEDI) principles and incorporates lessons from emerging digital rights challenges\, ensuring AI systems are designed with safety and dignity at their core. \n1PM GMT | 3PM SAST | 4PM EAT \nRegister here \n  \n 
URL:https://aplusalliance.org/event/the-african-ai-equality-toolbox-webinar-2-system-requirements-2/
CATEGORIES:Eventos A+
ATTACH;FMTTYPE=image/jpeg:https://aplusalliance.org/wp-content/uploads/2025/08/AI-EQ-Toolbox-black-w-gradient-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Moscow:20251016T150000
DTEND;TZID=Europe/Moscow:20251016T160000
DTSTAMP:20260530T011518
CREATED:20250828T101850Z
LAST-MODIFIED:20250828T102042Z
UID:24945-1760626800-1760630400@aplusalliance.org
SUMMARY:The Latin American AI & Equality Toolbox Introduction
DESCRIPTION:AI & Equality partnered with the Chilean Centro Nacional de Inteligencia Artificial\, CENIA\,  to co-construct a Latin American Spanish language version of the validated <AI & Equality> Toolbox\, with use cases relevant to the regional experience.\n\nThe partnership builds on the learnings from the workshop structure and outreach from the African <AI & Equality> Toolbox.\n\n\nTranslating and adapting tools like the <AI & Equality> Human Rights Toolbox can facilitate the co-creation of a common vocabulary and common understanding on the specific needs and challenges of each region of the world\, unlocking informed debates about their visions for data with purpose and collaboratively finding examples of regional use cases of AI. \n\n3PM ET | 10AM Santiago  \nRegister here 
URL:https://aplusalliance.org/event/the-latin-american-ai-equality-toolbox-introduction/
CATEGORIES:Eventos A+
ATTACH;FMTTYPE=image/png:https://aplusalliance.org/wp-content/uploads/2025/08/Untitled-design-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Moscow:20251020T160000
DTEND;TZID=Europe/Moscow:20251020T170000
DTSTAMP:20260530T011518
CREATED:20250828T093502Z
LAST-MODIFIED:20250828T094547Z
UID:24930-1760976000-1760979600@aplusalliance.org
SUMMARY:The African AI & Equality Toolbox Webinar 3: Data Discovery
DESCRIPTION:In many African AI projects\, available datasets are either imported (trained on non-African populations) or incomplete (lacking local language\, gender\, or cultural nuance). This misalignment risks perpetuating systemic bias under the guise of neutrality.This webinar will offer a deep dive into the Essential Questions of Data Discovery including a case study on the requirement for building effective TFGBV prevention datasets that include African languages. \n  \nThe African AI & Equality Toolbox is a strategic initiative designed to empower African stakeholders—policymakers\, technologists\, civil society actors\, and communities—to shape Artificial Intelligence (AI) systems that are contextually relevant\, inclusive\, and grounded in human rights. \nDeveloped by Women at the Table and the African Centre for Technology Studies (ACTS)\, and adapted from the global AI & Equality Human Rights Toolbox Initiative in collaboration with the UN Office of the High Commissioner for Human Rights (OHCHR)\, this African iteration provides practical tools and methodologies to guide equitable AI development across the continent. \nThe Toolbox applies a Human Rights-based AI Lifecycle Framework\, integrating reflective questions and the Human Rights Impact Assessment (HRIA) developed with the Alan Turing Institute. It emphasizes participatory\, multidisciplinary approaches and is rooted in feminist\, decolonial\, and Justice\, Equity\, Diversity\, and Inclusion (JEDI) principles and incorporates lessons from emerging digital rights challenges\, ensuring AI systems are designed with safety and dignity at their core. \n1PM GMT | 3PM SAST | 4PM EAT \nRegister here
URL:https://aplusalliance.org/event/the-african-ai-equality-toolbox-webinar-2-system-requirements/
CATEGORIES:Eventos A+
ATTACH;FMTTYPE=image/jpeg:https://aplusalliance.org/wp-content/uploads/2025/08/AI-EQ-Toolbox-black-w-gradient-scaled.jpg
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