MIT’s AI lab crunched 200,000 Bitcoin transactions. Only 2% were ‘illicit’.
Elliptic, a blockchain analytics firm, partnered with MIT to publish a public dataset of bitcoin transactions associated with illicit activity.
The group’s study categorized 203,769 bitcoin node transactions worth roughly $6 billion in total and explored whether artificial intelligence could assist current anti-money laundering (AML) procedures. After examining the nodes’ association with known entities, researchers found only 2 percent of those 200,000 bitcoin transactions were deemed illicit.
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