In December 2023, CNN published an investigation examining the scale and intensity of Israel’s bombing campaign in Gaza during the first month of the war. This story, which identified the use of 2,000-pound bombs in one of the most densely populated areas on Earth, was made possible in part by the cutting-edge AI technology developed by RAIC Labs, formerly Synthetaic.
AI was instrumental in analyzing satellite imagery of Gaza, allowing CNN to detect and quantify the destruction wrought by heavy munitions. RAIC's ability to process and interpret massive amounts of geospatial data with incredible speed and accuracy provided CNN with the detailed evidence needed to support their findings. Here’s how RAIC Labs played a crucial role in this investigative report.
Detecting impact craters with precision
One of the critical aspects of CNN’s investigation was identifying and measuring the impact craters left by 2,000-pound bombs. RAIC Labs proprietary AI was able to detect over 500 craters, focusing on detections more than 12 meters in diameter, across the Gaza Strip. This level of precision not only corroborated the use of these massive bombs but also highlighted the frequency and concentration of their deployment, something that had not been seen since the Vietnam War, according to military experts consulted by CNN.
Analyzing the scale of destruction
RAIC Labs ability to analyze the aftermath of each bombing run provided a comprehensive view of the destruction. By automatically categorizing and mapping damaged buildings, smoke plumes, and craters, RAIC offered a visual representation of the detections. This enabled CNN to illustrate the impact these bombs had on infrastructure, underscoring the humanitarian consequences.
Geolocating attacks for contextual accuracy
Leveraging the latitude and longitude of the detections was another vital component of the investigation. RAIC Labs' analysis ensured that every detected crater and damaged building was accurately placed within the context of Gaza’s densely populated neighborhoods. This geospatial accuracy was crucial for CNN's ability to provide a clear narrative on how close these strikes were to civilian areas.
An innovative collaboration that strengthened accountability
The collaboration between CNN and RAIC Labs, formerly Synthetaic, exemplifies how AI can augment investigative journalism, and in this case in conflict zones where on-the-ground reporting is dangerous or impossible. By partnering with RAIC Labs, CNN was able to independently verify claims, uncover new evidence, and develop their investigation around the analyzed data.
The future of investigative journalism
The CNN - RAIC Labs collaboration sets a new standard for how AI can be utilized in journalism. RAIC not only provided the tools to uncover and verify critical information but also empowered journalists to tell a more compelling and accurate story. As AI technology continues to evolve, its role in investigative journalism will undoubtedly grow, helping to uncover the truth in even the most challenging circumstances.
RAIC Labs' involvement in this investigation demonstrates the potential of AI to change the landscape of journalism, making it an indispensable tool for uncovering hidden truths and holding power to account.
Read the article on CNN: ‘Not seen since Vietnam’: Israel dropped hundreds of 2,000-pound bombs on Gaza, analysis shows