cb89a7834374dc23b1ec10b9baee374d socsci_a2023m1d18v12n2e53iENG.pdf 33184064232be06fc6a55c0884e1dfa06892aece socsci_a2023m1d18v12n2e53iENG.pdf 2f5cf66b73fdac1c63c1366cece338ef7abf00ff586199a57c409440672f0517 socsci_a2023m1d18v12n2e53iENG.pdf Title: Embedding Ethical Principles into AI Predictive Tools for Migration Management in Humanitarian Action Subject: AI predictive tools for migration management in the humanitarian field can significantly aid humanitarian actors in augmenting their decision-making capabilities and improving the lives and well-being of migrants. However, the use of AI predictive tools for migration management also poses several risks. Making humanitarian responses more effective using AI predictive tools cannot come at the expense of jeopardizing migrants’ rights, needs, and interests. Against this backdrop, embedding AI ethical principles into AI predictive tools for migration management becomes paramount. AI ethical principles must be imbued in the design, development, and deployment stages of these AI predictive tools to mitigate risks. Current guidelines to apply AI ethical frameworks contain high-level ethical principles which are not sufficiently specified for achievement. For AI ethical principles to have real impact, they must be translated into low-level technical and organizational measures to be adopted by those designing and developing AI tools. The context-specificity of AI tools implies that different contexts raise different ethical challenges to be considered. Therefore, the problem of how to operationalize AI ethical principles in AI predictive tools for migration management in the humanitarian field remains unresolved. To this end, eight ethical requirements are presented, with their corresponding safeguards to be implemented at the design and development stages of AI predictive tools for humanitarian action, with the aim of operationalizing AI ethical principles and mitigating the inherent risks. Keywords: AI predictive tools; migration management; humanitarian action; AI ethics Author: Andrea Guillén and Emma Teodoro Creator: LaTeX with hyperref Producer: pdfTeX-1.40.21 CreationDate: Wed Jan 18 06:18:54 2023 CET ModDate: Wed Jan 18 06:21:23 2023 CET Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 13 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 441013 bytes Optimized: no PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- LVGZVI+URWPalladioL-Bold Type 1 Custom yes yes no 10 0 RMLXPV+URWPalladioL-Roma Type 1 Custom yes yes no 15 0 WNOWIG+URWPalladioL-Ital Type 1 Custom yes yes no 19 0 OTOCOX+VnURWPalladioL Type 1 Custom yes yes no 23 0 BTFGED+VnURWPalladioL-Bold Type 1 Custom yes yes no 28 0 QPEFYI+TimesNewRomanPSMT Type 1C Custom yes yes no 47 0 WWEMIR+ArialMT Type 1C Custom yes yes no 51 0 FGVLUV+TimesNewRomanPS-BoldItalicMT Type 1C WinAnsi yes yes no 55 0 GBHHIN+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 86 0 GBHHIP+PalatinoLinotype TrueType WinAnsi yes yes no 89 0 GBHHKB+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 92 0 GBHIOK+Calibri CID TrueType Identity-H yes yes yes 95 0 Jhove (Rel. 1.22.1, 2019-04-17) Date: 2023-06-24 02:36:17 CEST RepresentationInformation: socsci_a2023m1d18v12n2e53iENG.pdf ReportingModule: PDF-hul, Rel. 1.12.1 (2019-04-17) LastModified: 2023-05-20 01:34:18 CEST Size: 441013 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 367 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: PageLayout: SinglePage PageMode: UseNone Outlines: Item: Title: Introduction Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@44c8afef Item: Title: The Use of AI Predictive Tools in Migration Management: Risks and Opportunities Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@7b69c6ba Item: Title: AI Ethical Frameworks: The Challenges of Highly Abstract Ethical Principles Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@46daef40 Item: Title: From AI Ethical Principles to Actionable Measures Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@12f41634 Item: Title: Specific Ethical Requirements and Safeguards to Embed into AI Predictive Tools for Migration Management Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@13c27452 Item: Title: Conclusions Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@262b2c86 Item: Title: References Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@371a67ec Info: Title: Embedding Ethical Principles into AI Predictive Tools for Migration Management in Humanitarian Action Author: Andrea Guillén and Emma Teodoro Subject: AI predictive tools for migration management in the humanitarian field can significantly aid humanitarian actors in augmenting their decision-making capabilities and improving the lives and well-being of migrants. However, the use of AI predictive tools for migration management also poses several risks. Making humanitarian responses more effective using AI predictive tools cannot come at the expense of jeopardizing migrants’ rights, needs, and interests. Against this backdrop, embedding AI ethical principles into AI predictive tools for migration management becomes paramount. AI ethical principles must be imbued in the design, development, and deployment stages of these AI predictive tools to mitigate risks. Current guidelines to apply AI ethical frameworks contain high-level ethical principles which are not sufficiently specified for achievement. For AI ethical principles to have real impact, they must be translated into low-level technical and organizational measures to be adopted by those designing and developing AI tools. The context-specificity of AI tools implies that different contexts raise different ethical challenges to be considered. Therefore, the problem of how to operationalize AI ethical principles in AI predictive tools for migration management in the humanitarian field remains unresolved. To this end, eight ethical requirements are presented, with their corresponding safeguards to be implemented at the design and development stages of AI predictive tools for humanitarian action, with the aim of operationalizing AI ethical principles and mitigating the inherent risks. 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