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Kyosuke Tomoda
Representative Director & President
Trust
He received his Master’s degree from The University of Tokyo, earning the Dean’s Award for research in machine learning.
After leading data and AI initiatives for the financial services division of a major Japanese e-commerce group, he founded Trust Co., Ltd. in 2023. In addition to serving as President, he leads its AI & data business, driving consulting and product development to advance industry best practices.
He is also engaged in Financial AI standardization through ISO and the Japan Association for the Promotion of Financial Data Utilization.
講演
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4:00–5:30午後木 26 2月GFTN InsightsRoundtable Room 3, Bellesalle 5FPremium
Bridging the Financial Gap
Agentic AI in Finance - Growth, Responsibility, and Global Alignment (Co-hosted by Financial Data Utilizing Association FDUA) [in Japanese] | 金融で活用が進むエージェント型AI──成長・責任・国際的な足並み（金融データ活用推進協会［FDUA］共催、日本語セッション）
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Hiroshi NakatakeManaging DirectorGlobal Legal Entity Identifier Foundation (GLEIF)
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Kazutoshi OnoDirector, Senior Managing Executive Officer and CDO, CTOCredit Saison Co., Ltd.
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Kyosuke TomodaRepresentative Director & PresidentTrust
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Mikio OgawaVice PresidentDataRobot Japan
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Dr. Shin SakaneCo-Chief Executive OfficerTRADOM Inc.
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Shinji NagouneManaging DirectorDeloitte Tohmatsu LLC
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Yumi SaitoChief Marketing Officer, Senior Vice PresidentAflac Life Insurance Japan
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Takeshi KitoCo-founder & Chief Executive Officer, GFTN JapanGlobal Finance & Technology Network (GFTN)Moderator
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Motokiyo HirayamaM-AIS Senior Data ScientistJapan Digital DesignModerator
About this session
Agentic AI is moving from experimentation to real decision-making in financial services, raising questions not only about safety and control, but also about how autonomy can contribute to the growth of financial institutions. This roundtable addresses both dimensions together.
Grounded in Japan’s hands-on experience—where financial institutions have tested and governed AI under real business and regulatory conditions—the discussion will examine when agentic AI creates tangible value and when it introduces risks that organizations are not yet prepared to absorb. Participants will explore how autonomy can support efficiency, new capabilities, and competitiveness, while also challenging existing operating models, trust, and accountability.
The conversation will focus on what is required to scale agentic AI responsibly, including clear decision boundaries, human oversight, and ownership of outcomes. Japanese perspectives will be brought into dialogue with global stakeholders to examine cross-border considerations and regulatory expectations. The session will conclude by identifying shared principles and practical next steps that can support both sustainable growth and responsible adoption of agentic AI across markets.
エージェント型AIは、実験段階から金融サービスにおいて実際に意思決定を行う段階へと進みつつあります。それに伴い、安全性や制御の問題に加え、AIの自律性が金融機関の成長にどのように貢献できるのかという点も問われています。本ラウンドテーブルでは、これら2つの観点に焦点を当てます。
日本では、金融機関が実際の業務や規制環境のもとでAIを検証してきました。本セッションでは、こうした実践的な経験を踏まえ、エージェント型AIが組織に対して具体的な価値を生み出す場面と、十分に備えきれていないリスクをもたらす場面とを見極めます。あわせて、AIの自律性が業務効率や新たな機能、競争力の向上を後押しする可能性と、それが既存の業務モデルや信頼、説明責任のあり方にどのような課題を投げかけるのかについても考察します。
さらに、意思決定の明確な範囲設定、人による監督、結果に対する責任の所在といった要素を中心に、エージェント型AIを責任あるかたちで導入していくために何が求められるのかを議論します。日本の視点を軸に国際的な関係者と意見を交わし、越境的な論点や規制当局に求められる対応について検討します。最後に、市場を越えて持続的な成長とエージェント型AIの責任ある導入を両立させるための共通の原則と、具体的な取り組みの方向性を示します。 -
