『Humanitarian AI Today』のカバーアート

Humanitarian AI Today

Humanitarian AI Today

著者： Humanitarian AI Today
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 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
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  • Valentine Pistorozzi on Advances in AI and Boldcode’s Reporter AI Project

    Valentine Pistorozzi on Advances in AI and Boldcode’s Reporter AI Project
    2025/05/14
    In this short Humanitarian AI Today podcast episode Valentine Pistorozzi speaks with Brent Phillips about Boldcode, new projects in the pipeline, and changes in the way that AI applications are being built. Brent and Valentine speak in detail about Boldcode’s https://reporterai.org/ project and about technical aspects of humanitarian AI applications. This interview was recorded as a test in November 2024 to experiment with a short 15 minute interview format for a special series of new Humanitarian AI Today podcast episodes to be published on Mondays.
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    29 分
  • Luke Marsden from HelixML on the Past, Present, and Future of Generative AI and MLOps

    Luke Marsden from HelixML on the Past, Present, and Future of Generative AI and MLOps
    2025/05/05
    Luke Marsden, CEO of HelixML, speaks with Humanitarian AI Today podcast producer Brent Phillips about how generative AI has evolved since early language models like BERT were introduced and applications like ChatGPT captured widespread popular interest in artificial intelligence, including across the humanitarian community. Luke traces advances in large language models and shares his views on where we are today and where the future of generative AI and the uses of large language models are headed. Luke also touches on top-down pressure on engineering teams to leverage AI, HelixML’s involvement in helping companies deploy large language models locally on their own infrastructure, and Anthropic’s Model Context Protocol (MCP) which standardizes how AI models connect with different data sources and tools, as well as the future of MLOps.
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    21 分
  • The New Commons Challenge: Advancing AI for Public Good through Data Commons

    The New Commons Challenge: Advancing AI for Public Good through Data Commons
    2025/05/02
    Stefaan Verhulst and Andrew Schroeder speak with Brent Phillips, Humanitarian AI Today podcast producer, about the New Commons Challenge (https://newcommons.ai/) focusing advancing AI for public good through data commons. Dr. Stefaan G. Verhulst is an expert in using data and technology for social impact. He is the Co-Founder of several research organizations including the Governance Laboratory (GovLab) at New York University and The DataTank based in Brussels. Dr. Andrew Schroeder is the Vice President of Research and Analysis for Direct Relief and the Co-Director of CrisisReady. The Open Data Policy Lab, a collaboration between The GovLab and Microsoft, launched the New Commons Challenge initiative to advance the responsible re-use of data for AI-driven solutions that enhance local decision-making and humanitarian response. The Challenge will award two winning institutions $100,000 each to develop data commons that fuel responsible AI innovation in these critical areas. The Challenge builds on the Open Data Policy Lab’s recent report, “Blueprint to Unlock New Data Commons for AI,” which advocates for creating collaboratively governed data ecosystems that support responsible AI development. The Challenge is backed by leading institutions committed to ethical AI and open data. Partners include Direct Relief / CrisisReady, and Harvard Law School Library, and UNESCO as international observer, which will provide subject-matter expertise and evaluation support. Stefaan, Andrew and Brent discuss the New Commons Challenges in detail and touch on data commons for AI, disaster relief and local decision making, AI governance, data sharing architectures and data re-use, advances in artificial intelligence and human-AI interaction, and the intersection of collective intelligence and artificial intelligence.
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    39 分

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