LEADER 02222nam 2200613 a 450 001 9910452165803321 005 20200520144314.0 010 $a1-282-09947-7 010 $a9786612099472 010 $a0-262-28165-1 010 $a1-4356-4073-X 035 $a(CKB)1000000000482594 035 $a(SSID)ssj0000095717 035 $a(PQKBManifestationID)11127826 035 $a(PQKBTitleCode)TC0000095717 035 $a(PQKBWorkID)10062716 035 $a(PQKB)10298039 035 $a(MiAaPQ)EBC3338783 035 $a(OCoLC)221645375$z(OCoLC)432428652$z(OCoLC)471125660$z(OCoLC)560605571$z(OCoLC)648358808$z(OCoLC)722649151$z(OCoLC)815776665$z(OCoLC)961620728$z(OCoLC)961872268$z(OCoLC)962688657$z(OCoLC)968306682$z(OCoLC)988479523$z(OCoLC)990404409$z(OCoLC)991916702$z(OCoLC)992111805$z(OCoLC)1037911920$z(OCoLC)1038556964$z(OCoLC)1055347350$z(OCoLC)1058336365$z(OCoLC)1064041127$z(OCoLC)1081203808 035 $a(OCoLC-P)221645375 035 $a(MaCbMITP)7705 035 $a(Au-PeEL)EBL3338783 035 $a(CaPaEBR)ebr10218515 035 $a(CaONFJC)MIL209947 035 $a(OCoLC)221645375 035 $a(EXLCZ)991000000000482594 100 $a20070925d2008 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$a3D shape$b[electronic resource] $eits unique place in visual perception /$fZygmunt Pizlo 210 $aCambridge, Mass. $cMIT Press$dc2008 215 $axiv, 278 p. $cill 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-262-51513-X 311 $a0-262-16251-2 320 $aIncludes bibliographical references (p. [245]-266) and index. 330 $aA new account of how we perceive the 3D shapes of objects and how to design machines that can see shapes the way we do. 606 $aForm perception 606 $aVisual perception 608 $aElectronic books. 615 0$aForm perception. 615 0$aVisual perception. 676 $a152.14/23 700 $aPizlo$b Zygmunt$0890662 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910452165803321 996 $a3D shape$91989522 997 $aUNINA LEADER 05131nam 22007695 450 001 9910416140803321 005 20250609111510.0 010 $a3-030-52470-1 024 7 $a10.1007/978-3-030-52470-8 035 $a(CKB)4100000011401123 035 $a(MiAaPQ)EBC6320918 035 $a(DE-He213)978-3-030-52470-8 035 $a(PPN)250216353 035 $a(MiAaPQ)EBC6320725 035 $a(EXLCZ)994100000011401123 100 $a20200827d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence, Computational Modelling and Criminal Proceedings $eA Framework for A European Legal Discussion /$fby Serena Quattrocolo 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (242 pages) $cillustrations 225 1 $aLegal Studies in International, European and Comparative Criminal Law,$x2524-8049 ;$v4 311 08$a3-030-52469-8 327 $aPart I: Introducing the Problem -- 1. Approaching the Unknown: Some Preliminary Words -- 2. A Theoretical Framework for the Discussion on AI and Criminal Law -- Part II Direct and Indirect Impact of Widespread Computational Modelling on Evidence Gathering -- 3. Hacking by Law-Enforcement: Investigating with the Help of Computational Models and AI Methods -- 4. Equality of Arms and Automatedly Generated Evidence -- Part III: Challenges of Computational Methods to the Judicial Decision-Making Process: Deciding v. Predicting -- 5. Predictability and Criminal Justice -- 6. Predictability of Violent Behaviour and Recidivism -- 7. Predictability and the Criminal Justice Decision-Making Process -- 8. The Gist of the Inquiry. 330 $aThis book discusses issues relating to the application of AI and computational modelling in criminal proceedings from a European perspective. Part one provides a definition of the topics. Rather than focusing on policing or prevention of crime ? largely tackled by recent literature ? it explores ways in which AI can affect the investigation and adjudication of crime. There are two main areas of application: the first is evidence gathering, which is addressed in Part two. This section examines how traditional evidentiary law is affected by both new ways of investigation ? based on automated processes (often using machine learning) ? and new kinds of evidence, automatically generated by AI instruments. Drawing on the comprehensive case law of the European Court of Human Rights, it also presents reflections on the reliability and, ultimately, the admissibility of such evidence. Part three investigates the second application area: judicial decision-making, providing an unbiased review of the meaning, benefits, and possible long-term effects of ?predictive justice? in the criminal field. It highlights the prediction of both violent behaviour, or recidivism, and future court decisions, based on precedents. 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