『Humanitarian AI Today』のカバーアート

Humanitarian AI Today

Humanitarian AI Today

著者: Humanitarian AI Today
無料で聴く

このコンテンツについて

Humanitarian AI Today is the leading AI for Good podcast series focusing on humanitarian applications of artificial intelligence. We interview leaders, developers and innovators advancing humanitarian applications of AI from across the tech and humanitarian communities. The series is produced by the Humanitarian AI meetup.com community, linking local groups in Cambridge, San Francisco, Seattle, New York City, Toronto, Montreal, London, Paris, Berlin, Oslo, Geneva, Zurich, Bangalore, Tel Aviv and Tokyo.All rights reserved
エピソード
  • Matthew Brown from Profound on Agentic Search Engine Optimization
    2025/07/30
    In a world where AI-powered question answering interfaces and AI agents are becoming the new informational gatekeepers, how can humanitarian organizations adapt their communications strategies to stay visible, credible, and prominent? In this episode of Humanitarian AI Today, guest host Roderick Besseling, Head of the Data and Analytics Unit at the Norwegian Refugee Council, speaks with Matthew Brown from Profound, a startup that helps companies track, control, and optimize their marketing and communications content for the agentic internet. Joined by Lucy Hall, a Data and Evidence Specialist from Save the Children's Humanitarian Leadership Academy and Brent Phillips, Roderick and Matt discuss a critical challenge facing the humanitarian sector caused by artificial intelligence upending the world of search, simultaneously disrupting the industry and transforming the very nature of how we access information. This disruption forces a pivotal choice: organizations must adapt their communication strategies, or risk becoming invisible to the donors and communities they serve. Matt explains how Profound helps companies and organizations analyze their "AI visibility" by tracking how, when, and in what context their brand is mentioned by question-answering interfaces like ChatGPT, Gemini and Perplexity. He explains how Answer or Agentic Engine Optimization (AEO) works and how Profound can help organizations learn to generate the high-quality, semantically rich, and well-structured content that AI agents favor, ensuring that their communications are not just seen, but are recognized as trustworthy and reliable. The conversation also explores how AEO can support the localization agenda within the humanitarian sector. Matt argues that this technological shift can "level-up the playing field," giving local and grassroots organizations a better chance at visibility. Because AEO prioritizes well-structured, helpful content over large budgets and traditional SEO tactics, smaller organizations with less resources have a new opportunity to be discovered, ensuring their vital work is visible to donors and partners from the community level all the way up to large UN agencies. Episode notes: https://medium.com/humanitarian-ai-today/matthew-brown-from-profound-on-agentic-search-engine-optimization-aeo-for-humanitarian-75ba0e6560c6
    続きを読む 一部表示
    42 分
  • Pradyumna Chari Introduces Project NANDA to Humanitarian Organizations
    2025/07/24
    In this episode of Humanitarian AI Today, guest host Doug Smith, Acting CEO of Data Friendly Space, speaks with Pradyumna Chari, a postdoctoral associate at the MIT Media Lab about Project NANDA. This initiative is building the foundational layer for an internet of AI agents through a broad coalition of academic institutions, major technology corporations, specialized AI startups, and the open-source community. Pradyumna explains how components like the NANDA Index create a "handshake layer" for intelligent agents to discover, coordinate, and transact with each other. This system is designed to shape the future of knowledge sharing, enabling agents to transact in privacy-preserving "intelligence" and "insights" rather than raw data. Doug and Pradyumna explore how this unlocks the potential for a "mesh" of interconnected agents to revolutionize humanitarian response. With this technology in a formative stage—much like the early World Wide Web—the humanitarian community has a critical opportunity to help shape its infrastructure. Tune in to learn how your organization can get involved and ensure this powerful new ecosystem is built to meet humanitarian needs from the ground up. Episode notes: https://humanitarianaitoday.medium.com/pradyumna-chari-introduces-project-nanda-to-humanitarian-organizations-333478f5f049
    続きを読む 一部表示
    30 分
  • Andre Heller and Mala Kumar Discuss Signpost’s Pilot AI Assistant
    2025/07/22
    Humanitarian AI Today, guest host Mala Kumar, Head of Impact at Humane Intelligence, sits down with Andre Heller, Director of Signpost at the International Rescue Committee (IRC). They discuss Signpost's recent research paper on piloting an "information assistant," detailing the technical architecture, evaluation methods, and lessons learned from the project The conversation also addresses the significant challenges facing the sector, including a funding crisis that has impacted the pace, scale, and scope of critical research being carried out across the humanitarian community advancing humanitarian applications of artificial intelligence. In the midst of this crisis and the explosive growth of AI, Andre and Mala emphasize the need for more rigorous, scientific, and collaborative approaches to AI development and evaluation. They speak in detail about open source AI and what it means to the humanitarian community. And Mala explains how her organization, Humane Intelligence, is working to professionalize AI evaluation by creating a community of practice around fair and representative algorithmic auditing. She describes their work in red teaming, conducting "bias bounties," and the future development of open-source "evaluation cards" to make evaluation methodologies more transparent and reusable. Episode notes: https://medium.com/humanitarian-ai-today/andre-heller-and-mala-kumar-discuss-signposts-pilot-ai-assistant-903b5b8ab787
    続きを読む 一部表示
    44 分
まだレビューはありません