Voices is a new mini-series from Humanitarian AI Today. In daily five-minute flashpods we pass the mic to humanitarian experts and technology pioneers, to hear about new projects, events, and perspectives on topics of importance to the humanitarian community.
In this flashpod, Jessie Pechmann, Humanitarian GIS and Data Protection Lead with Humanitarian OpenStreetMap, speaks with Humanitarian AI Today producer Brent Phillips about satellite imaging, GIS, and the uses of AI in assessing building damage. They touch on how different AI models and methods can produce wildly different results for the same area, highlighting the need for transparency and better validation practices, including humans in the loop providing local knowledge and oversight. They also discuss the importance of "data commons," the open, shared data resources that humanitarian organizations rely on, and the challenges of supporting them amid a shift away from traditional government funding, which risks data becoming "siloed" as funding moves toward philanthropic or paid-for services.
Substack notes: https://humanitarianaitoday.substack.com/p/jessie-pechmann-from-humanitarian
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Voices is a new mini-series from Humanitarian AI Today. In daily five-minute flashpods we pass the mic to humanitarian experts and technology pioneers, to hear about new projects, events, and perspectives on topics of importance to the humanitarian community.
In this flashpod, Jessie Pechmann, Humanitarian GIS and Data Protection Lead with Humanitarian OpenStreetMap, speaks with Humanitarian AI Today producer Brent Phillips about satellite imaging, GIS, and the uses of AI in assessing building damage. They touch on how different AI models and methods can produce wildly different results for the same area, highlighting the need for transparency and better validation practices, including humans in the loop providing local knowledge and oversight. They also discuss the importance of "data commons," the open, shared data resources that humanitarian organizations rely on, and the challenges of supporting them amid a shift away from traditional government funding, which risks data becoming "siloed" as funding moves toward philanthropic or paid-for services.
Substack notes: https://humanitarianaitoday.substack.com/p/jessie-pechmann-from-humanitarian
Cole Leng on the State and Future of On-Device Machine Learning for Humanitarian Action
Humanitarian AI Today
24 minutes 25 seconds
1 month ago
Cole Leng on the State and Future of On-Device Machine Learning for Humanitarian Action
Voices is a new mini-series from Humanitarian AI Today. In daily five-minute flashpods we pass the mic to humanitarian experts and technology pioneers, to hear about new projects, events, and perspectives on topics of importance to the humanitarian community.
In this flashpod, Cole Leng, an AI Researcher at Harvard and former Project Manager with Nexa AI, sits down with Humanitarian AI Today producer Brent Phillips to discuss the state-of-the-art and future trajectory of on-device machine learning.
The discussion provides researchers and staff from humanitarian organizations with important insights into where the state-of-the-art in on-device machine learning stands today and where the cutting-edge is heading. Cole examines the critical trade-offs between on-device and cloud models, analyzing their respective workflows, performance limitations, and implementation considerations to help listeners evaluate whether on-device ML applications are suitable for their specific needs. He also offers insight into choosing LLMs, the impact of new specialized hardware on performance and capability, and how current advances in ML are shaping the next generation of applications.
This episode highlights a core goal of the Humanitarian AI Today podcast: fostering dialogue between technology researchers and humanitarian practitioners. As AI and ML capabilities scale rapidly, this cross-sector engagement is crucial for mapping new technical advances to the unique operational, privacy, and resource constraints of the humanitarian field.
Substack notes: https://humanitarianaitoday.substack.com/p/cole-leng-on-the-state-and-future
Humanitarian AI Today
Voices is a new mini-series from Humanitarian AI Today. In daily five-minute flashpods we pass the mic to humanitarian experts and technology pioneers, to hear about new projects, events, and perspectives on topics of importance to the humanitarian community.
In this flashpod, Jessie Pechmann, Humanitarian GIS and Data Protection Lead with Humanitarian OpenStreetMap, speaks with Humanitarian AI Today producer Brent Phillips about satellite imaging, GIS, and the uses of AI in assessing building damage. They touch on how different AI models and methods can produce wildly different results for the same area, highlighting the need for transparency and better validation practices, including humans in the loop providing local knowledge and oversight. They also discuss the importance of "data commons," the open, shared data resources that humanitarian organizations rely on, and the challenges of supporting them amid a shift away from traditional government funding, which risks data becoming "siloed" as funding moves toward philanthropic or paid-for services.
Substack notes: https://humanitarianaitoday.substack.com/p/jessie-pechmann-from-humanitarian
