Andrew Ferguson on Big Data Prosecution and Brady

Ipse Dixit

CC0/Public Domain에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 CC0/Public Domain 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

5+ y ago 38:14

MP3•에피소드 홈

In this episode, Andrew Guthrie Ferguson, Visiting Professor of Law at American University Washington College of Law, discusses his article Big Data Prosecution and Brady, forthcoming soon in the UCLA Law Review. Professor Ferguson begins by discussing how prosecution has changed from a purely reactive role to one that's more proactive with "intelligence-driven" strategies, and how that's enabled by the use of big data in prosecutor's offices. He identifies a fundamental problem that arises with prosecutorial reliance on data and its centralization--systems used by prosecutors and police are not designed to identify Brady materials. Professor Ferguson introduces a new theory of a "Networked Brady" that recognizes new and emerging technologies and offers suggested interventions on how to engineer prosecutorial big data systems to comply with Brady and due process requirements. Professor Ferguson's scholarship is available on SSRN and he's on Twitter at @ProfFerguson.

This episode was hosted by Maybell Romero, Assistant Professor of Law at Northern Illinois University College of Law. Romero is on Twitter at @MaybellRomero.

Hosted on Acast. See acast.com/privacy for more information.

819 에피소드

#Society #Philosophy #Law #Legal Scholarship #Jurisprudence #Scholarship #Academia #CC0/Public Domain