date: 2021-04-23T07:27:20Z pdf:PDFVersion: 1.6 pdf:docinfo:title: Comparing the Emergence of Technical and Social Sciences Research in Artificial Intelligence xmp:CreatorTool: LaTeX with hyperref package + hypdvips access_permission:can_print_degraded: true subject: Applications of Artificial Intelligence (AI) can be examined from perspectives of different disciplines and research areas ranging from computer science and security, engineering, policymaking, and sociology. language: en dc:format: application/pdf; version=1.6 pdf:docinfo:creator_tool: LaTeX with hyperref package + hypdvips access_permission:fill_in_form: true pdf:encrypted: false dc:title: Comparing the Emergence of Technical and Social Sciences Research in Artificial Intelligence modified: 2021-04-23T07:27:20Z cp:subject: Applications of Artificial Intelligence (AI) can be examined from perspectives of different disciplines and research areas ranging from computer science and security, engineering, policymaking, and sociology. pdf:docinfo:subject: Applications of Artificial Intelligence (AI) can be examined from perspectives of different disciplines and research areas ranging from computer science and security, engineering, policymaking, and sociology. pdf:docinfo:creator: Igor Linkov meta:author: Igor Linkov meta:creation-date: 2021-04-23T05:49:23Z created: 2021-04-23T05:49:23Z access_permission:extract_for_accessibility: true Creation-Date: 2021-04-23T05:49:23Z Author: Igor Linkov producer: dvips + MiKTeX GPL Ghostscript 9.0 pdf:docinfo:producer: dvips + MiKTeX GPL Ghostscript 9.0 pdf:unmappedUnicodeCharsPerPage: 0 dc:description: Applications of Artificial Intelligence (AI) can be examined from perspectives of different disciplines and research areas ranging from computer science and security, engineering, policymaking, and sociology. Keywords: AI, review ? systematic, risk, taxonomy, machine learning access_permission:modify_annotations: true dc:creator: Igor Linkov description: Applications of Artificial Intelligence (AI) can be examined from perspectives of different disciplines and research areas ranging from computer science and security, engineering, policymaking, and sociology. dcterms:created: 2021-04-23T05:49:23Z Last-Modified: 2021-04-23T07:27:20Z dcterms:modified: 2021-04-23T07:27:20Z title: Comparing the Emergence of Technical and Social Sciences Research in Artificial Intelligence xmpMM:DocumentID: uuid:c37c7ebd-e709-401b-960c-1f7c1c8cf3b4 Last-Save-Date: 2021-04-23T07:27:20Z pdf:docinfo:keywords: AI, review ? systematic, risk, taxonomy, machine learning pdf:docinfo:modified: 2021-04-23T07:27:20Z meta:save-date: 2021-04-23T07:27:20Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Igor Linkov dc:language: en dc:subject: AI, review ? systematic, risk, taxonomy, machine learning access_permission:assemble_document: true xmpTPg:NPages: 13 pdf:charsPerPage: 3409 access_permission:extract_content: true access_permission:can_print: true meta:keyword: AI, review ? systematic, risk, taxonomy, machine learning access_permission:can_modify: true pdf:docinfo:created: 2021-04-23T05:49:23Z