{"id":233326,"updated":"2025-01-19T10:08:00.350035+00:00","links":{},"created":"2025-01-19T01:34:42.073775+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00233326","sets":["1164:2836:11471:11524"]},"path":["11524"],"owner":"44499","recid":"233326","title":["CAPTAI：能力の差を用いたAIの識別手法の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-11"},"_buckets":{"deposit":"ebbd9c0e-0940-4a0b-bf6d-b611df856ce1"},"_deposit":{"id":"233326","pid":{"type":"depid","value":"233326","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"CAPTAI：能力の差を用いたAIの識別手法の検討","author_link":["633546","633557","633553","633556","633552","633554","633551","633544","633543","633545","633555","633542","633550","633547","633548","633549"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"CAPTAI：能力の差を用いたAIの識別手法の検討"},{"subitem_title":"CAPTAI: Study on AI identification using differences in 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Laboratories","subitem_text_language":"en"},{"subitem_text_value":"NTT Social Informatics Laboratories","subitem_text_language":"en"},{"subitem_text_value":"Shizuoka University","subitem_text_language":"en"},{"subitem_text_value":"Shizuoka 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/233326/files/IPSJ-DPS24198042.pdf","label":"IPSJ-DPS24198042.pdf"},"date":[{"dateType":"Available","dateValue":"2026-03-11"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DPS24198042.pdf","filesize":[{"value":"874.5 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直人"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大木, 哲史"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"西垣, 正勝"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Seiya, Kajihara","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Shinnosuke, Nozaki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kota, Numada","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takumi, Takaiwa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Nami, Ashizawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Naoto, Kiribuchi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tetsushi, Ohki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masakatsu, Nishigaki","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10116224","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":"2188-8906","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，情報技術の急速な発展により，様々な AI が社会に普及している．提供される AI は，専門家である他者が作成した AI であることが一般的である．そのような社会において，他者が作成した AI を誰もが安心して利用できる仕組みが必要であり，利用者が相対している AI が正しい AI なのかを識別することが必要不可欠である．利用者にとって，AI は他者が作成したブラックボックスであり，中身を知ることは困難である．また，AI は静的ではなく日々変化するため，証明書のような識別方式を適用することができない．以上より，AI の識別は必要不可欠であり，困難な課題といえる．本研究では，AI 利用者が使用可能な AI の識別手法を提案する．提案手法では，CAPTCHAの「認知能力の限界の差を表出」，「問題を無限に自動生成可能」という要件を用いた人間と機械の識別，というコンセプトを，AI と AI を識別するためのコンセプトへと拡張し，それぞれ，「能力の限界の差を表出」，「問題を無限に自動生成可能」とする．さらに，AI は解答を生成するに至った根拠を出力可能であるため，AI の内部状態を使用することが可能になる．本研究では，「能力の限界の差を表出」，「問題を無限に自動生成可能」の特徴を利用し，AI の能力の差を表出させる問題を CAPTAI： Completely Automated Public Turing Test To Tell Ability of Artificial Intelligence と呼ぶ．CAPTAI は画像認識モデル，大規模言語モデル (LLM)，画像生成モデルといった様々な AI の識別が可能な問題を体系的に網羅することを目的としている．本稿では，第一歩として，LLM を対象とした CAPTAI に関する検討を行い，具体的な問題設計を行う．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告マルチメディア通信と分散処理（DPS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-11","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"42","bibliographicVolumeNumber":"2024-DPS-198"}]},"relation_version_is_last":true,"weko_creator_id":"44499"}}