| Project/Area Number |
24500194
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | National Institute of Advanced Industrial Science and Technology |
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Principal Investigator |
KAMISHIMA Toshihiro 独立行政法人産業技術総合研究所, ヒューマンライフテクノロジー研究部門, 主任研究員 (50356820)
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| Co-Investigator(Kenkyū-buntansha) |
AKAHO Shotaro 独立行政法人産業技術総合研究所, ヒューマンライフテクノロジー研究部門, 研究グループ長 (40356340)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2012: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | データマイニング / 機械学習 / 統計 / 独立性 / 公正性 / 中立性 / 推薦システム / フィルタバブル / 統計的独立性 / フィルターバブル |
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| Outline of Final Research Achievements |
As the improvement of data mining technologies, such technologies are being used for determinations that seriously affect individual' lives, such as employment applications, credit, insurance rates, and so on. Needless to say, such serious determinations must be unbiased and fair in terms of socially sensitive information, such as gender or race. For this purpose, we develop the technique to avoid the use of such sensitive information in the serious determinations. The simple elimination of sensitive information from the calculations is insufficient for avoiding inappropriate determination process, due to the indirect influence of sensitive information. This phenomena is called the read-lining effect. We treat this red-lining effect by introducing the methodologies based on the notion of the statistical independence.
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