{"id":46621,"date":"2025-11-29T20:38:10","date_gmt":"2025-11-29T12:38:10","guid":{"rendered":"https:\/\/www.1ai.net\/?p=46621"},"modified":"2025-11-29T20:38:10","modified_gmt":"2025-11-29T12:38:10","slug":"%e6%b7%b1%e5%9c%b3%e4%b8%8a%e7%ba%bf%e5%9b%bd%e5%86%85%e9%a6%96%e4%b8%aa-ai-%e6%99%ba%e8%83%bd%e5%8a%b3%e5%8a%a8%e4%bb%b2%e8%a3%81%e7%b3%bb%e7%bb%9f%ef%bc%9a111-%e4%b8%aa%e4%ba%89%e8%ae%ae%e7%b1%bb","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/46621.html","title":{"rendered":"THE FIRST AI SMART LABOUR ARBITRATION SYSTEM IN SHENZHEN: 111 TYPES OF DISPUTES COVERED"},"content":{"rendered":"<p>November 29th, according to<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e6%b7%b1%e5%9c%b3\" title=\"[Sees articles with Shenzhen labels]\" target=\"_blank\" >Shenzhen<\/a>Human Society, November 27th<strong>The country's first \"full-covered, fully process-enabled, fully-supported\" smart-assets system for labour dispute arbitration<\/strong>Officially operational in Shenzhen City at the Labour and Personnel Arbitration Court\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-46622\" title=\"5e17226cj00t6hn0m012wd000v90169p\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2025\/11\/5e17226cj00t6hn0m012wd000v90169p.jpg\" alt=\"5e17226cj00t6hn0m012wd000v90169p\" width=\"1125\" height=\"1521\" \/><\/p>\n<p>1AI LEARNED FROM THE REPORT THAT SINCE THE SYSTEM WAS PUT INTO OPERATION, THE EFFICIENCY OF THE ARBITRATOR ' S EXAMINATION OF THE FILE HAD IMPROVED BY 50% AND THAT THE PRODUCTION TIME FOR THE AWARD HAD BEEN REDUCED BY APPROXIMATELY 50%, WITH A MARKED REDUCTION IN THE OVERALL CASE CYCLE\u3002<\/p>\n<p>System innovation adoption<strong>\u201cKnowledge mapping bottom-up, mind chain-driven\u201d<\/strong>BY CONSOLIDATING THE EXPERIENCE OF REFORM AND STANDARDIZATION OF THE SHENZHEN-BASED FACTOR-BASED ARBITRATION FOR MORE THAN A DECADE, BUILDING A PANORAMA OF KNOWLEDGE COVERING 111 TYPES OF ARBITRATION IN LABOUR DISPUTES, USING THE LOGIC OF ARBITRATION (\u201cARBITRATION REQUEST \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192) \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 , \u2192 \u2192 , \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192 \u2192<strong>EFFECTIVE PROTECTION AGAINST \"AI HALLUCINATIONS\"<\/strong>.<\/p>\n<p>IT IS UNDERSTOOD THAT THE SYSTEM WILL FURTHER INTEGRATE AI COMPETENCIES INTO THE ESTABLISHMENT OF CASES, MEDIATION, COURT HEARINGS, ADJUDICATION, ETC., AND IMPROVE THE OVERALL QUALITY OF ARBITRATION\u3002<\/p>\n<ul>\n<li>At the case level, the \"Booking the Case\" module examines cases from 11 dimensions and generates acceptance recommendations<strong>The accuracy of the filing process is strongly safeguarded<\/strong>.<\/li>\n<li>During the mediation process, the \"smart mediation\" module automatically introduces articles and types of cases by deciphering the focus of the dispute, and allows smart review of the compliance and reasonableness of the mediation programme<strong>Support for precision mediation<\/strong>.<\/li>\n<li>In the course of the examination of the paper, the \u201creading and research\u201d module automatically combes the brief of the case and the factual findings, and sends the points and presets of the case in the context of the trial investigation<strong>INCREASED EFFICIENCY OF REVIEW PAPERS APPROXIMATELY 50%<\/strong>.<\/li>\n<li>At the trial stage, the \u201chearing empowerment\u201d module automatically produces an outline of the proceedings, ensures that the points of investigation are not missing, and also provides jargon guidance in the context of frequently asked questions at the hearings to help arbitrators better control the proceedings\u3002<\/li>\n<li>At the award stage, the \"instrument generation\" function supports the arbitrator in writing the arbitral award and can trace the corresponding foundation materials and information in the electronic file<strong>Almost half of the time the award was produced<\/strong>.<\/li>\n<li>In the context of a tribunal comparison, the \"smart match\" function has breached the data barriers that have long constrained the interface between arbitration and litigation, achieving the result of the award through a case-related algorithm and the result of the effective judgement in terms of a smart match to the depth of the dimensions of the claim, the determination of the facts, the application of the law, the method of calculation, etc., and deduces the focus of consistency and difference between the rules of the tribunal<strong>To assist in enhancing the credibility of arbitration and facilitating the convergence of labour disputes<\/strong>.<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>ON 29 NOVEMBER, ACCORDING TO THE SHENZHEN COMMUNITY, ON 27 NOVEMBER, THE COUNTRY'S FIRST SYSTEM OF SMART SUPPORT FOR LABOUR DISPUTE ARBITRATION WAS OFFICIALLY LAUNCHED AT SHENZHEN CITY'S LABOUR AND PERSONNEL DISPUTES COURT. 1AI LEARNED FROM THE REPORT THAT SINCE THE SYSTEM WAS PUT INTO OPERATION, THE EFFICIENCY OF THE ARBITRATOR ' S EXAMINATION OF THE FILE HAD IMPROVED BY 50% AND THAT THE PRODUCTION TIME FOR THE AWARD HAD BEEN REDUCED BY APPROXIMATELY 50%, WITH A MARKED REDUCTION IN THE OVERALL CASE CYCLE. THE SYSTEM INNOVATION USES A \u201cKNOWLEDGE MAPPING BOTTOM-UP, THOUGHT CHAIN-DRIVEN\u201d ALGORITHM TO ACHIEVE A PATH THAT INTEGRATES MORE THAN A DECADE OF FACTOR-BASED REFORM EXPERIENCE AND STANDARDIZED ARBITRATION IN SHENZHEN CITY, BUILDING A PANORAMA OF KNOWLEDGE COVERING 111 TYPES OF ARBITRATION IN LABOUR DISPUTES AND USING THE LOGIC OF ARBITRATION (\u201cARBITRATION REQUEST \u2192 PROOF OF PROOF \u2192 COURT HEARINGS\u201d<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[7931,3671],"collection":[],"class_list":["post-46621","post","type-post","status-publish","format-standard","hentry","category-news","tag-7931","tag-3671"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/46621","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=46621"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/46621\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=46621"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=46621"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=46621"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=46621"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}