19897902409dab7cd423335ea47d2b86 pmc_9243923.pdf a04aaa4965005f96d721baf58f76b2644586cb2a pmc_9243923.pdf 24128e79afb9d594bfac2d122bbb0a2863265b3b2ae6d0fef15ccbd7c4b8ccd9 pmc_9243923.pdf Title: Are AI systems biased against the poor? A machine learning analysis using Word2Vec and GloVe embeddings Subject: AI & SOCIETY, https://doi.org/10.1007/s00146-022-01494-z Keywords: Bias; Artificial intelligence; Embeddings; Poverty Author: Georgina Curto Creator: Springer Producer: Acrobat Distiller 10.1.8 (Windows) CreationDate: Sat Sep 10 06:00:45 2022 CEST ModDate: Sat Sep 10 06:02:14 2022 CEST Custom Metadata: yes Metadata Stream: yes Tagged: no UserProperties: no Suspects: no Form: AcroForm JavaScript: no Pages: 16 Encrypted: no Page size: 595.276 x 790.866 pts Page rot: 0 File size: 1285624 bytes Optimized: yes PDF version: 1.4 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- MyriadPro-SemiCn Type 1C WinAnsi yes no yes 1091 0 MyriadPro-Semibold Type 1C Custom yes no yes 1092 0 MyriadPro-SemiboldSemiCn Type 1C Custom yes no yes 1093 0 MyriadPro-Bold Type 1C Custom yes no yes 1100 0 TPGBBG+STIX-Regular Type 1C Custom yes yes yes 1101 0 VTAYGW+Wingdings-Regular Type 1C WinAnsi yes yes yes 1113 0 Springnew-Regular Type 1C WinAnsi yes no yes 1121 0 MyriadPro-BoldSemiCn Type 1C WinAnsi yes no yes 635 0 STIX-Bold Type 1C WinAnsi yes no yes 664 0 RJKGZK+ArialMT Type 1C WinAnsi yes yes no 660 0 BGNOJQ+STIXMath-Regular Type 1C Custom yes yes yes 684 0 BGNOJQ+STIXMathExtensions-Regular Type 1C Custom yes yes no 681 0 BGNOJQ+STIXMath-BoldItalic Type 1C Custom yes yes no 677 0 BGNOJQ+STIXMath-Regular2 Type 1C Custom yes yes yes 688 0 BGNOJQ+STIXMath-Italic Type 1C Custom yes yes no 679 0 BGNOJQ+STIXMath-Bold Type 1C Custom yes yes no 680 0 BGNOJQ+STIXMath-Regular3 Type 1C Custom yes yes yes 687 0 BGNOJQ+STIXGeneral-Regular Type 1C Custom yes yes no 691 0 BGNOJQ+STIXMath-Italic2 Type 1C Custom yes yes no 683 0 BGNOJQ+STIXMath-Bold2 Type 1C Custom yes yes no 685 0 BGNOJQ+STIXGeneral-Regular2 Type 1C Custom yes yes no 690 0 BGNOJQ+STIXMath-Regular4 Type 1C Custom yes yes yes 692 0 RJKGZK+STIXGeneral-BoldItalic Type 1C Custom yes yes no 689 0 BGNOJQ+STIXMath-Regular5 Type 1C Custom yes yes yes 678 0 BGNOJQ+STIXMathScript-Regular Type 1C Custom yes yes yes 682 0 RJKGZK+STIXGeneral-BoldItalic2 Type 1C Custom yes yes no 686 0 STIX-Italic Type 1C WinAnsi yes no yes 725 0 DUEQLM+Calibri Type 1C Custom yes yes no 728 0 Calibri2 Type 1C Custom yes no no 727 0 Calibri3 Type 1C Custom yes no no 749 0 Jhove (Rel. 1.28.0, 2023-05-18) Date: 2024-06-11 02:48:55 CEST RepresentationInformation: pmc_9243923.pdf ReportingModule: PDF-hul, Rel. 1.12.4 (2023-03-16) LastModified: 2024-05-30 02:37:37 CEST Size: 1285624 Format: PDF Version: 1.4 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf Profile: Linearized PDF PDFMetadata: Objects: 1192 FreeObjects: 1 IncrementalUpdates: 1 DocumentCatalog: ViewerPreferences: HideToolbar: false HideMenubar: false HideWindowUI: false FitWindow: false CenterWindow: false DisplayDocTitle: false NonFullScreenPageMode: UseNone Direction: L2R ViewArea: CropBox ViewClip: CropBox PrintArea: CropBox PageClip: CropBox PageLayout: SinglePage PageMode: UseOutlines Language: EN Outlines: Item: Title: Are AI systems biased against the poor? A machine learning analysis using Word2Vec and GloVe embeddings Children: Item: Title: Abstract Item: Title: 1 Introduction Item: Title: 2 The roots and consequences of bias against the poor Item: Title: 3 Detection of bias against the poor: materials and methods Children: Item: Title: 3.1 Materials Children: Item: Title: 3.1.1 Target terms and attributes Item: Title: 3.1.2 Word codingembeddings Item: Title: 3.1.3 Pre-trained embeddings Item: Title: 3.2 Methods Children: Item: Title: 3.2.1 Semantic analysis of words based on vector distances Item: Title: 3.2.2 Cosine distance between words Item: Title: 3.2.3 Calculation of the dot product between words Item: Title: 3.2.4 Semantic relations between target and attribute words based on cosine distance Item: Title: 3.2.5 Identifying logical relationships (analogies) in the same context (embedding) Item: Title: 4 Results and discussion Item: Title: 5 Conclusion Item: Title: References Info: Title: Are AI systems biased against the poor? 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