Blockchain analysis firm Elliptic, in collaboration with the Massachusetts Institute of Technology (MIT), has released a public data set for bitcoin transactions related to illegal activities. The team's study details how researchers at the MIT-ibm Watson Artificial Intelligence Laboratory used machine learning software to classify 203,769 bitcoin node transactions worth about $6 billion. The study explores whether artificial intelligence can help with current anti-money laundering (AML) programs. After examining the association of these nodes with known entities, the researchers found that only 2% of the 200,000 bitcoin transactions were considered illegal. Although 21% of transactions were confirmed as legal, the vast majority of transactions (about 77%) were still not classified.