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ç·åç (2025). ãå°æ¹è²¡æ¿ã®ç¶æ³(什å7幎3æ)ã. PDF
æ¥æ¬ç·åç ç©¶æ (2025). ãå°æ¹è²¡æ¿ã®ç¡¬çŽåãšè²¡æºåé¡ââæ±ãããããã¯ããšãã¯ãåæ¹ã®èŠç¹ããJRIã¬ãã¥ãŒãVol.5, No.123. PDF
ç¥æžåž (2026). ã什å8幎床äºç®ç·šææ¹é:åžçšåå ¥ãšçŸ©åççµè²»ã®æ§é åæã.
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倧éªåž (2026). ã倧éªåžäºç®æŠèŠ:åžçšåå ¥ãšç€ŸäŒä¿éè² æ ã®çŸç¶ã.
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æå³¶ å (1976). ãè¡æ¿åœå®¶è«ã. æ±äº¬å€§åŠåºçäŒ.
æå³¶ å (1999). ãç·å管çåŠåºèª¬:è¡æ¿ããã¢ãããã¹ãã¬ãŒã·ã§ã³ãžã. ææé£.
Hood, C. (2011). The Blame Game: Spin, Bureaucracy, and Self-Preservation in Government. Princeton University Press.
Cooper, A. F., Moss, E., Laufer, B., et al. (2022). "Accountability in an algorithmic society: relationality, responsibility, and robustness in machine learning." ACM Conference on Fairness, Accountability, and Transparency. Link
Weerheijm, B., Galdames, M., & Giest, S. (2025). "Bureaucratic accountability: enabler or barrier for algorithm use?" Policy Design and Practice. Link
Eubanks, V. (2018). Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. St. Martin's Press.
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Stockton Economic Empowerment Demonstration (2021). Final Report: SEED's First Year. Website
GiveDirectly (2023). "Early findings from the world's largest UBI study." Report
Kela (2020). Results of Finland's Basic Income Experiment 2017-2018. Finnish Social Insurance Institution. PDF
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