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
Eric Talbert on Building Hyper-Local, AI-Powered Supply Chains for Medical Surplus
Humanitarian AI Today
12 minutes 11 seconds
1 month ago
Eric Talbert on Building Hyper-Local, AI-Powered Supply Chains for Medical Surplus
Voices is a new mini-series from Humanitarian AI Today. In daily five-minute flashpods we pass the mic to innovators, researchers and practitioners on the humanitarian front lines, delivering real-time news on how they are building, testing and collaborating on uses of artificial intelligence.
In this flashpod, Eric Talbert, Co-founder of MedCycle Network joins Humanitarian AI Today host Brent Phillips to discuss Eric’s background in human rights, supply and logistics, MedCycle’s work, their partnership with the Hellman Foundation and ways MedCycle is experimenting with artificial intelligence.
MedCycle Network facilitates the collection of donated, high-quality surplus medical supplies and equipment so they can be distributed to local safety net clinics. Eric and Brent discuss challenges that organizations like MedCycle and similar organizations like MedShare and Partners for World Health share around working with hospitals and companies to prevent medical supplies from being discarded that could otherwise be donated to needy healthcare providers struggling to care for their communities. They talk how AI-powered decentralized surplus supplies ecosystems can impact and inform choices made around the trash barrel in real-time, to redirect usable supplies to clinics in need on an item-by-item basis.
Substack Notes: https://open.substack.com/pub/humanitarianaitoday/p/eric-talbert-from-medcycle-networks?r=e9cbk&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
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
