The US uses AI to target locations for airstrikes in the Middle East

AI technology improved military targeting accuracy, but there are questions about how well it prevents civilian casualties.

According to Bloomberg, the United States has escalated its use of artificial intelligence (AI) technologies to identify targets for bombings in the Middle East.

According to the Pentagon, in the most recent round of airstrikes, coalition forces led by the US targeted eight locations, including underground weapons storage facilities, missile storage facilities, one-way attacks on unmanned aerial systems, air defense systems, radars, and a helicopter, to disrupt the Iranian-backed Houthi militia’s capabilities.

The United States is using advanced AI and machine learning to fire specific targets on enemy organizations as it ramps up retribution operations against terrorist organizations in the region.

Schuyler Moore, Chief Technology Officer for the US Central Command (CENTCOM), stated that the military uses computer vision algorithms to detect hostile targets in the Middle East.

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According to Steven Feldstein, a senior fellow at the Carnegie Endowment for International Peace who was discussing its usage during the strikes, “AI systems can aggregate bulk information and identify targets and locations in ways that can be more efficient than relying on traditional techniques.”

There is no doubt that AI technology has improved military targeting accuracy, but worries remain about how successfully it prevents civilian casualties. Concerns about these technologies’ possible consequences on innocent bystanders during wars persist in the absence of more accountability and transparency in their deployment.