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URL:https://worldnewstrust.com/events/viewevent/172-globalizing-perspectives-on-ai-safety 
DTSTART:20250219T093000
DTEND:20250219T110000
SUMMARY:Globalizing Perspectives On AI Safety
DESCRIPTION:<p>Globalizing Perspectives On AI Safety</p><p><br /></p><p>Wednesday, February 19, 2025</p><p>9:30 am - 11:00 am EST</p><span><div><span><br /></span></div><a href="https://connect.brookings.edu/register-to-watch-globalizing-perspectives-on-ai-safety"><strong>Watch Online</strong></a></span><br /><p><br /></p><p>Brookings Office of Communications</p><p>events@brookings.edu</p><p>202.797.6105</p><p><br /></p><p>Join the conversation</p><p>#AISafety</p><p>More On Global Economy & Development</p><p>Technology & Information</p><p>Sub-Topics</p><p>Artificial Intelligence Technology Policy & Regulation</p><br /><p>Africa</p><p>Latin America & the Caribbean</p><p>North America</p><p>Southeast Asia</p><p><br /></p><p>Program</p><p>Governance Studies</p><p>Center for Technology Innovation</p><p>The AI Equity Lab</p><br /><p>Artificial intelligence (AI) safety is an emerging field dedicated to ensuring that AI systems operate reliably, ethically, and beneficially. However, mainstream narratives surrounding AI safety often reflect the objectives and perspectives of Western institutions, prioritizing technical risks like alignment and misuse while neglecting broader societal and contextual harms. As global AI safety efforts gain momentum—through initiatives like the AI Safety Summit, specialized institutes, and new benchmarks—critical gaps remain. Many current evaluation methods lack coverage of non-Western languages, cultural norms, and societal contexts, leading to AI systems that perform poorly in diverse environments and reinforce systemic biases. These limitations highlight the urgent need for globalized approaches to AI safety.</p><br /><p>On February 19, join the Center for Technology Innovation at Brookings for a webinar featuring a panel of experts from across the globe to examine how Western-centric assumptions in AI safety frameworks can perpetuate inequities and bias. Panelists will explore region-specific challenges, such as linguistic and cultural barriers as well as innovative frameworks, technical measures, and human-centered approaches to redefine what it means for AI to be “safe” on a global scale.</p><br /><p>Viewers can submit questions for speakers by emailing events@brookings.edu or via Twitter at @BrookingsGov by using #AISafety</p><p><br /></p><p>Panel</p><br /><p>Maia Levy Daniel</p><p>Senior Program Manager - Trust and Safety Foundation</p><br /><p>Craig Ramlal</p><p>Lecturer - The University of the West Indies, St. Augustine Campus</p><br /><p>Shaun Ee</p><p>Policy and Strategy Manager - Institute for AI Policy and Strategy</p><br /><p>Jam Kraprayoon</p><p>Strategy Manager - Institute for AI Policy and Strategy</p><br /><p>Ben Kereopa-Yorke</p><p>Master's Student - The University of New South Wales</p><br /><p>Grace Chege</p><p>Fellow - ILINA Program</p><p>Moderator</p><p>Chinasa T. Okolo</p><p>Fellow - Governance Studies, Center for Technology Innovation</p><p>@chinasa.bsky.social</p><p>More On</p><p>Global Economy & Development</p><p>Technology & Information</p><p>Africa</p><p>Latin America & the Caribbean</p><p>North America</p><p>Southeast Asia</p><p>Program</p><p>Governance Studies</p><br /><p>Regional cooperation crucial for AI safety and governance in Latin America</p><p>.</p><br />
LOCATION:Online Webinar
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