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Full-Text Articles in Law
Prosecutorial Storytelling Through Intrinsic Evidence, Brian Chen
Prosecutorial Storytelling Through Intrinsic Evidence, Brian Chen
Pepperdine Law Review
Crimes make for compelling stories. So juries make for an eager audience. Jurors want to—indeed, expect to—learn what the defendant did, how they did it, and why they deserve punishment. Capable prosecutors know how to deliver. Trial narratives empower jurors to link discrete pieces of evidence and infer facts from circumstantial proof. Only then can they render a verdict consistent with their sense of justice. Federal courts thus afford wide leeway for prosecutors to present their case as they please, with the evidence at their disposal. The Federal Rules of Evidence delineates the scope of that discretion. Under Rule 404(b), …
Machines Like Me: A Proposal On The Admissibility Of Artificially Intelligent Expert Testimony, Andrew W. Jurs, Scott Devito
Machines Like Me: A Proposal On The Admissibility Of Artificially Intelligent Expert Testimony, Andrew W. Jurs, Scott Devito
Pepperdine Law Review
With the rapidly expanding sophistication of artificial intelligence systems, their reliability, and cost-effectiveness for solving problems, the current trend of admitting testimony based on artificially intelligent (AI) systems is only likely to grow. In that context, it is imperative for us to ask what rules of evidence judges today should use relating to such evidence. To answer that question, we provide an in-depth review of expert systems, machine learning systems, and neural networks. Based on that analysis, we contend that evidence from only certain types of AI systems meet the requirements for admissibility, while other systems do not. The break …