{"updated":"2025-06-10T07:10:59.227401+00:00","links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:02002765","sets":["1164:5251:1739508474514:1749538592376"]},"path":["1749538592376"],"owner":"80578","recid":"2002765","title":["生成AI学習ネットワークの統計的関係と作品のスタイルの知的財産について"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2025-06-17"},"_buckets":{"deposit":"b21f6d16-b233-4c7d-827d-0012fdfec6a9"},"_deposit":{"id":"2002765","pid":{"type":"depid","value":"2002765","revision_id":0},"owners":[80578],"status":"published","created_by":80578},"item_title":"生成AI学習ネットワークの統計的関係と作品のスタイルの知的財産について","author_link":[],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"生成AI学習ネットワークの統計的関係と作品のスタイルの知的財産について","subitem_title_language":"ja"},{"subitem_title":"On the statistical relationships in generative AI learning networks and intellectual prope rty of style of works","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"EIP","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2025-06-17","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"一橋大学"},{"subitem_text_value":"一橋大学ソーシャル・データサイエンス学部／理研AIP"},{"subitem_text_value":"三重大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Hitotsubashi University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Social Data Science, Hitotsubashi University / RIKEN AIP","subitem_text_language":"en"},{"subitem_text_value":"Mie University","subitem_text_language":"en"}]},"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/2002765/files/IPSJ-EIP25108002.pdf","label":"IPSJ-EIP25108002.pdf"},"date":[{"dateType":"Available","dateValue":"2027-06-17"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-EIP25108002.pdf","filesize":[{"value":"1.3 MB"}],"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":"63db97e3-0ec6-4222-9c22-0dff9e2c92d9","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2025 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"金子,格"}]},{"creatorNames":[{"creatorName":"寺田,麻佑"}]},{"creatorNames":[{"creatorName":"湯田,恵美"}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Itaru Kaneko","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Mayu Terada","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Emi Yuda","creatorNameLang":"en"}]}]},"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":"本報告では生成AIの学習済みネットワーク間の統計的関係と作品のスタイルの知的財産について考察する．多くの生成AIサービスはその出力を新しいネットワークの学習データとして使用することを禁止している．高いコストをかけて得られた貴重な統計情報を公平なコストなしで利用することを禁止することは合理的である．しかし，AIが人間の芸術スタイルを学習する場合のスタイルの保護については議論がある．ほとんどの意見は，これが現在の著作権法を侵害しないとしている．AI生成出力の使用が利用規約で禁止できるならば，著者は自分のスタイルを保護する根拠を著作権ではなくライセンス条項に頼ることが考えられる．結果著作権が空洞化してしまう可能性がある．この議論に貢献するため，これらの作品を学習して得られたネットワークパラメータを多次元空間内の点として解釈し，それらの分布関係を考慮する．また，人間の著者によるスタイルの模倣とAIによる転移学習を統合した統計指標を探求する．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In this study, we consider the statistical relationships in trained networks of generative AI and the intellectual property of artistic styles. Many generative AI services prohibit using their output as training data for new networks, as it would exploit valuable statistical information without reasonable cost. It is reasonable to prohibit the use of valuable statistical information obtained at high cost without a fair cost. However, there is debate about protection of style when AI learns human artistic styles. Most opinions suggest that this does not infringe on current copyright law. If the use of AI-generated output is prohibited by terms of use, authors may rely on license terms rather than copyright to protect their style. This may leads hollowing out copyright. To contribute to this discussion, we interpret the network parameters obtained from learning these works as points in a multidimensional space and consider their distribution relationships. We also explore statistical indices that integrate the imitation of artistic styles by human authors and transfer learning by AI.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告電子化知的財産・社会基盤（EIP）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2025-06-17","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"2025-EIP-108"}]},"relation_version_is_last":true,"weko_creator_id":"80578"},"id":2002765,"created":"2025-06-10T07:10:54.626024+00:00"}