August 2, 2019 MIT partners with Elliptic and IBM-Watson to analyze Bitcoin transactions using AI, finding that only 2% of the 200,000 transactions analyzed were considered illicit.

Machine learning techniques used in the study focused on eliminating false positive reports of illicit behavior. The study loosely confirms earlier findings by Chainalysis that only 1% of BTC transactions involved illegal activity.