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Titlebook: New Frontiers in Artificial Intelligence; JSAI International S Toyotaro Suzumura,Mayumi Bono Conference proceedings 2024 The Editor(s) (if

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书目名称New Frontiers in Artificial Intelligence
副标题JSAI International S
编辑Toyotaro Suzumura,Mayumi Bono
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: New Frontiers in Artificial Intelligence; JSAI International S Toyotaro Suzumura,Mayumi Bono Conference proceedings 2024 The Editor(s) (if
描述.This volume constitutes the proceedings of the 16th JSAI International Symposia on Artificial Intelligence (JSAI-isAI), held in Hamamatsu, Japan, in May 2024. ..The 21 full papers presented in this proceedings volume were carefully reviewed and selected from 63 submissions. The papers are organized in the following topical sections: AI-Biz 2024, BIAS 2024, JURISIN 2024, and SCIDOCA 2024... .
出版日期Conference proceedings 2024
关键词artificial intelligence; classification methods; computational linguistics; document analysis; informati
版次1
doihttps://doi.org/10.1007/978-981-97-3076-6
isbn_softcover978-981-97-3075-9
isbn_ebook978-981-97-3076-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Governing AI in Hiring: An Effort to Eliminate Biased Decisionthat policymakers governing AI in employment consider the definition of AI tools, the scope of AI usage, the permissible human involvement in the employment process, the scope of employment, and the compliance measures.
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Navigating the Artificial Intelligence Dilemma: Exploring Paths for Norway’s Future government’s acknowledgement of a lack of competence in the public sector and recent steps toward AI regulation are recognized, but these also prompt a call for comprehensive measures aligning with human rights principles.
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Overview of Benchmark Datasets and Methods for the Legal Information Extraction/Entailment Competiti) and 6 teams for Task 2 (18 runs). On the statute law task, there were 12 different teams participating, most in more than one task. 8 teams submitted a total of 20 runs for Task 3, and 8 teams submitted a total of 23 runs for Task 4. We describe the variety of approaches, our official evaluation, and analysis of our data and submission results.
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Towards an In-Depth Comprehension of Case Relevance for Better Legal Retrievalkable performance in COLIEE2024, securing first place in Task 1 and third place in Task 3. We anticipate that our proposed approach can contribute valuable insights to the advancement of legal retrieval technology.
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Similarity Ranking of Case Law Using Propositions as Featurese features include the extraction and similarity matching for a novel feature which we call a ‘proposition’ (a short summary of the basis upon which a noticed case has been cited), as well as the name of the judge deciding the case, verbatim quotations from the text, and several other novel features.
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