The terms get mixed up constantly. In boardrooms, in classrooms, in startup pitches, even in technical documentation. You’ll hear someone say “AI system” when they really mean a predictive model.
The financial landscape of 2026 is defined by a paradox: machine learning systems are now more powerful and autonomous than ever, yet they operate under the strictest regulatory scrutiny in history.
Jonathan D. Uslaner and Matthew Goldstein of Bernstein Litowitz Berger & Grossmann LLP examine the proposed new Federal Rule of Evidence 707, which addresses the admissibility of machine-generated ...
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