Fintan Buckley, CEO of Ubotica, joins Thinking on Paper to explain how artificial intelligence is changing the way satellites observe Earth, detect disasters and make decisions in orbit.
Traditional Earth-observation satellites often collect data and send it back to ground stations for processing. Ubotica is developing onboard AI systems that can analyse images in space, identify relevant events and transmit useful information without waiting for the full dataset to reach Earth.
This could reduce the time needed to detect wildfires, monitor environmental changes and respond to maritime incidents. It also raises questions about surveillance, military use and how much decision-making should be delegated to autonomous systems.
In this episode, we discuss:
How AI-powered satellites work
How satellites can detect wildfires in near real time
Why processing data in orbit can reduce disaster-response times
How satellite AI supports maritime security and environmental monitoring
The privacy implications of increasingly precise Earth observation
How autonomous satellites could be used in military operations
Whether humans should remain involved in critical decisions
Why removing old satellites won’t solve the wider space-debris problem
How realistic fictional surveillance satellites are
Fintan explains where onboard satellite computing is already being used, what technical limitations remain and how close the industry is to deploying more autonomous systems in orbit.
The conversation examines both sides of AI-powered Earth observation: its potential to improve disaster response and environmental monitoring, and the risks created when satellites can analyse, prioritise and act on information with limited human involvement.
Please enjoy the show.
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