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Humanitarian AI Today

Podcast Humanitarian AI Today
Humanitarian AI Today
Humanitarian AI Today is the leading AI for Good podcast series focusing on humanitarian applications of artificial intelligence. We interview leaders, develope...
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  • Transparency in Discussion: Improving Transparency and Accountability in AI Implementations
    The UK Humanitarian Innovation Hub (UKHIH), Elrha, and Humanitarian AI Today bring panelists together to discuss transparency and strategies for improving transparency and accountability in AI implementations. Michael Hind, Distinguished Research Staff Member at IBM Research; Shadrock Roberts, Director of Global Data Protection & Privacy at Mercy Corps; Scott Turnbull, Chief Technology Officer at Data Friendly Space; Liam Nicoll, Signpost Product Lead at Signpost AI Lab; and Sarah Spencer, a consultant who regularly speaks on humanitarian operations and applications of artificial intelligence, contribute their insights on transparency and ways of improving transparency and accountability in AI implementations. Touching on the existing landscape of AI initiatives within the humanitarian sector, key players, and what transparency means broadly and in practice, their views connect the humanitarian and technology communities and provide valuable insight into why transparency is crucial for building trust in AI systems and engaging stakeholders in developing and leveraging uses of AI for good. The panel discussion, guest hosted by Brent Phillips from Humanitarian AI Today, mixes input on AI systems, technical information disclosure, AI governance and regulation, and how humanitarian organizations are approaching developing, testing and deploying safe, responsible and trustworthy AI applications that are transparent and accountable to end users. Panelists each share their views on ways of improving transparency and offer ideas on directions to expand the transparency conversation. In closing, panelists provide a strong case for greater information sharing on AI use cases and greater inclusivity around transparency throughout the AI building and deployment process. This episode is part of a six-part panel discussion series sponsored and produced by Humanitarian AI Today in collaboration with the UK Humanitarian Innovation Hub (UKHIH) and Elrha, with funding from UK International Development from the UK government.   More information about this episode, its focus and upcoming discussions can be found by subscribing to the UK Humanitarian Innovation Hub and Elrha's new AI newsletter: http://ukhih.org/newsletter.
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  • Sian White, Dan Amias and Daniela Weber Introduce Elrha and UKHIH's new AI Newsletter
    Sian White, Director of the UK Humanitarian Innovation Hub; Dan Amias, Senior Innovation Learning Advisor at Elrha; and Daniela Weber, Director of NetHope’s Center for the Digital Nonprofit, discuss the growing importance of AI in the humanitarian sector and introduce Elrha and UKHIH’s new AI newsletter. Joining Brent Phillips of Humanitarian AI Today, they highlight recent AI initiatives by UKHIH, Elrha, and NetHope, emphasizing their collaborative role in advancing humanitarian efforts. They also share insights from their AI learning journeys, key takeaways, and ongoing challenges in harnessing AI for humanitarian impact.
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  • Lindsey Moore from DevelopMetrics on their AI for Development Summit and on Funding for AI Research
    Lindsey Moore, Founder and CEO of DevelopMetrics, discusses her team’s upcoming AI for Development Summit and provides an update on DevelopMetric’s current work helping humanitarian organizations develop and test AI applications. Lindsey and Humanitarian AI Today podcast producer, Brent Phillips, touch on advancements in AI and the state of humanitarian AI, the importance of humanitarian organizations and technology companies participating in technical working groups, the need for funding for critical humanitarian AI research and development and importantly the need for funding to bridge the digital divide and ensure diverse representation in AI models particularly for underrepresented communities, and touch on AI transparency, Signpost’s new AI Lab, UK Humanitarian Innovation Hub projects and other subjects.
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  • Karin Maasel and Doug Smith from Data Friendly Space on the Evolving Humanitarian AI Landscape
    Karin Maasel and Doug Smith from Data Friendly Space update listeners on GANNET, a collaborative, generative AI-powered tool that DFS developed in partnership with Amazon Web Services (AWS) to help humanitarian organizations access, extract, and visualize information to boost the timeliness, effectiveness, and accuracy of humanitarian responses and anticipatory action. Over three recording sessions, Karin (DFS CEO) and Doug (DFS Chief of Staff) answer a broad range of questions covering their team’s work and new tools, the evolving humanitarian AI landscape and AI-powered tools being developed by other humanitarian initiatives, trusted data sources and open data sharing frameworks, and the importance of domain specific AI model training, human-centered design and responsible AI development as well as the need for greater cross-sector collaboration.
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  • Vanessa Parli on how Stanford's Institute for Human-Centered AI Evaluates Research Proposals
    Vanessa Parli, Director of Research Programs at Stanford's Institute for Human-Centered Artificial Intelligence (HAI), speaks with Allison Cohen, Senior Applied AI Project Manager at Mila. This episode was recorded for both the Humanitarian AI Today podcast and The World We Are Building podcast, which seek to broaden the conversation around artificial intelligence. Vanessa and Allison discuss how HAI reviews and selects AI research projects to support based on their technical soundness, potential impact, ethical considerations, and alignment with HAI's goals and values. Vanessa emphasizes the importance of interdisciplinary collaboration, which fosters a holistic approach to AI development. She also discusses the role of ethics in AI development and the challenges of bridging the gap between cutting-edge research and real-world applications, highlighting the importance of considering the potential impact of AI on society. This interview was recorded to provide humanitarian organizations, grantmakers and others with insights into how leading AI institutes handle research project cultivation and evaluation.
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