{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00234343","sets":["1164:5251:11545:11646"]},"path":["11646"],"owner":"44499","recid":"234343","title":["プライバシー保護におけるマシンアンラーニングの法的役割"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-05-29"},"_buckets":{"deposit":"ad23514b-427f-480d-916c-89c43915b3d3"},"_deposit":{"id":"234343","pid":{"type":"depid","value":"234343","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"プライバシー保護におけるマシンアンラーニングの法的役割","author_link":["638400"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"プライバシー保護におけるマシンアンラーニングの法的役割"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"プライバシー・個人情報","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-05-29","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"ソニーグループ株式会社"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/234343/files/IPSJ-EIP24104017.pdf","label":"IPSJ-EIP24104017.pdf"},"date":[{"dateType":"Available","dateValue":"2026-05-29"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-EIP24104017.pdf","filesize":[{"value":"470.2 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"26"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"8de3f1ee-9d5d-44e5-8908-d729627a9348","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"鈴木, 健二"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11238429","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8647","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"学習データや学習済みモデルには，法的要請に基づいて消去すべき個人情報が含まれていることがある．しかし，学習済みモデルから該当データを消去しモデルを再構築することには，経済的なコストを伴う．このため，学習済みモデルから特定の個人情報を忘れさせる技術として，マシンアンラーニングが注目されている．本稿では，マシンアンラーニングの意義と技術的限界に焦点を当て，法的な位置づけを明らかにする．各地域のプライバシー保護法制へのマシンアンラーニングの適用について考察し，その有用性と限界について検討する．EU の GDPR や米国カリフォルニア州の CCPA は，技術的な限界に対して柔軟な解釈の余地がある．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告電子化知的財産・社会基盤（EIP）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-05-29","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"17","bibliographicVolumeNumber":"2024-EIP-104"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":234343,"updated":"2025-01-19T09:49:17.603161+00:00","links":{},"created":"2025-01-19T01:36:07.258272+00:00"}