<?xml version="1.0"?><rdf:RDF xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:edm="http://www.europeana.eu/schemas/edm/" xmlns:wgs84_pos="http://www.w3.org/2003/01/geo/wgs84_pos" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:rdaGr2="http://rdvocab.info/ElementsGr2" xmlns:oai="http://www.openarchives.org/OAI/2.0/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:ore="http://www.openarchives.org/ore/terms/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:dcterms="http://purl.org/dc/terms/"><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:DOC-0PHXI70P/d947376c-4b33-48ef-b877-5c7e0391d27b/PDF"><dcterms:extent>387 KB</dcterms:extent></edm:WebResource><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:DOC-0PHXI70P/fc355bc3-03ff-41ee-9ce2-a2f7bfdc3787/TEXT"><dcterms:extent>0 KB</dcterms:extent></edm:WebResource><edm:ProvidedCHO rdf:about="URN:NBN:SI:DOC-0PHXI70P"><dcterms:issued>2023</dcterms:issued><dc:creator>Sharma, Mohit</dc:creator><dc:format xml:lang="sl">številka:1</dc:format><dc:format xml:lang="sl">letnik:15</dc:format><dc:format xml:lang="sl">str. 99-119</dc:format><dc:identifier>COBISSID_HOST:163163907</dc:identifier><dc:identifier>ISSN:1855-7147</dc:identifier><dc:identifier>URN:URN:NBN:SI:doc-0PHXI70P</dc:identifier><dc:language>en</dc:language><dc:publisher xml:lang="sl">University of Maribor Press</dc:publisher><dc:source xml:lang="sl">Lexonomica</dc:source><dc:subject xml:lang="en">artificial intelligence</dc:subject><dc:subject xml:lang="en">India</dc:subject><dc:subject xml:lang="en">judiciary</dc:subject><dc:subject xml:lang="en">legal justice system</dc:subject><dc:subject xml:lang="en">machine learning</dc:subject><dc:title xml:lang="sl">India's courts and artificial intelligence| a future outlook|</dc:title><dc:description xml:lang="sl">In recent years, the legal system has used artificial intelligence technology extensively. Artificial intelligence for judicial purposes is more efficient, knowledgeable, and impartial than human judges. It has its limitations, largely based on big data, algorithms, and computing power rather than organic intelligence. Judiciary artificial intelligence cannot completely replace human judges because of differences in conceptual framework, application scenario, and ability and potential. Unambiguously stating that judicial artificial intelligence is never a replacement for human judges is crucial. The study aims to investigate the legal issues and the various ways that AI impacts the legal system. The research methodology is qualitative, inductive and descriptive</dc:description><edm:type>TEXT</edm:type><dc:type xml:lang="sl">znanstveno časopisje</dc:type><dc:type xml:lang="en">journals</dc:type><dc:type rdf:resource="http://www.wikidata.org/entity/Q361785" /></edm:ProvidedCHO><ore:Aggregation rdf:about="http://www.dlib.si/?URN=URN:NBN:SI:DOC-0PHXI70P"><edm:aggregatedCHO rdf:resource="URN:NBN:SI:DOC-0PHXI70P" /><edm:isShownBy rdf:resource="http://www.dlib.si/stream/URN:NBN:SI:DOC-0PHXI70P/d947376c-4b33-48ef-b877-5c7e0391d27b/PDF" /><edm:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/" /><edm:provider>Slovenian National E-content Aggregator</edm:provider><edm:intermediateProvider xml:lang="en">National and University Library of Slovenia</edm:intermediateProvider><edm:dataProvider xml:lang="sl">Univerza v Mariboru, Pravna fakulteta</edm:dataProvider><edm:object rdf:resource="http://www.dlib.si/streamdb/URN:NBN:SI:DOC-0PHXI70P/maxi/edm" /><edm:isShownAt rdf:resource="http://www.dlib.si/details/URN:NBN:SI:DOC-0PHXI70P" /></ore:Aggregation></rdf:RDF>