DARPA Progresses on Refining Data Analysis
June 12, 2017
The ideal data analysis platform for global intelligence would take all the data in the world and rapidly make connections, alerting law enforcement or the military about potential events before they happen. It would also make it downright impossible for bad actors to hide their tracks. Our government seems to be moving toward that goal with AIDA, or Active Interpretation of Disparate Alternatives. DARPA discusses the project in its post, “DARPA Wades into Murky Multimedia Information Streams to Catch Big Meaning.” The agency states:
The goal of AIDA is to develop a multi-hypothesis ‘semantic engine’ that generates explicit alternative interpretations or meaning of real-world events, situations, and trends based on data obtained from an expansive range of outlets. The program aims to create technology capable of aggregating and mapping pieces of information automatically derived from multiple media sources into a common representation or storyline, and then generating and exploring multiple hypotheses about the true nature and implications of events, situations, and trends of interest.
‘It is a challenge for those who strive to achieve and maintain an understanding of world affairs that information from each medium is often analyzed independently, without the context provided by information from other media,’ said Boyan Onyshkevych, program manager in DARPA’s Information Innovation Office (I2O). ‘Often, each independent analysis results in only one interpretation, with alternate interpretations eliminated due to lack of evidence even in the absence of evidence that would contradict those alternatives. When these independent, impoverished analyses are combined, generally late in the analysis process, the result can be a single apparent consensus view that does not reflect a true consensus.’
AIDA’s goal of presenting an accurate picture of overall context early on will help avoid that problem. The platform is to assign a confidence level to each piece of information it processes and each hypothesis it generates. It will also, they hope, be able to correct for a journalistic spin by examining variables and probabilities. Is the intelligence community is about to gain an analysis platform capable of chilling accuracy?
Cynthia Murrell, June 12, 2017
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