"We're not going to do a chatbot anytime soon": Notes on the RISJ's AI and the Future of News symposium
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"We're not going to do a chatbot anytime soon": Notes on the RISJ's AI and the Future of News symposium
"If you've ever been to Google Earth Engine...you can process the entire landsat archive going back to the [19]80s or 70s in minutes or seconds. We can go through huge amounts of data even faster than we could've imagined."
"At Reuters, McNeill's team has been using satellite imagery analysis to cover global conflicts and human rights abuses. That includes the Sudanese civil war, during which Reuters manually assembled a database of satellite imagery of cemeteries across the Darfur region. The imagery relied on remote sensing, or satellites that capture the reflections or emission of electromagnetic energy, offering a level of granularity that can detect small mounds and other topographical changes on the earth's surface."
The Reuters Institute for the Study of Journalism convened a symposium at Oxford to examine AI's role in journalism beyond recent controversies. Discussions emphasized that AI encompasses more than large language models, including computer vision technologies. Ryan McNeill from Reuters demonstrated how machine learning has transformed geospatial investigations, allowing teams to process decades of satellite imagery in minutes. Reuters has applied satellite imagery analysis to cover global conflicts and human rights abuses, including the Sudanese civil war. Using remote sensing technology, journalists can detect topographical changes and small details on Earth's surface, providing granular evidence for investigative reporting on famine and humanitarian crises.
Read at Nieman Lab
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