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開催形態
- 参加無料
- 要事前登録
- ハイブリッド形式(対面・Zoom)
日時
2025年 11月4日(火曜日) 14:55 ~ 19:00(JST)
会場
慶應義塾大学三田キャンパス東別館9階カンファレンスルーム(キャンパスマップ19番)
<注意>慶應義塾ミュージアム・コモンズ: Keio Museum Commons(Kemco)の建物です。大学内ではなく大通り沿いになりますのでご注意ください。
事前登録
参加無料,要事前登録
登録フォームはこちら
プログラム
最新情報は, イベント公式ページをご参照ください。
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Opening Remark Koji Mineshima and Mitsuhiro Okada (Keio University, Japan) |
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第1部 Part 1 Some basic research reports towards explainability and fairness (Explanation, judgment, inference with pictures and diagrams) |
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| 15:00 - 15:20 |
Yuri Sato and Yuka Tosaka(*) (Ochanomizu University, Japan) Attention as Explanation: Human-AI Comparison in Aesthetic Judgments (*) the speaker |
| 15:20 - 15:35 |
Risako Ando et al. (Keio University, Japan) Evaluating LLMs' logical reasoning ability with Euler diagrams |
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(Counterfactual fairness and logic) |
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| 15:35 - 15:55 |
Yuichiro Hosokawa (Gunma Prefectural Women's University, Japan) Describing Counterfactual Fairness in Hybrid Temporal Logic |
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第2部 Part 2 Fairness and Explainability in ML-AI |
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| 16:00 | Introduction of the guest speakers by the coordinators |
| 16:10- 17:00 |
Catuscia Palamidessi (Inria and Ecole-Polytechnique, France)* Causality, Fairness, and Group Fairness (Tentative title) |
| 17:10 - 17:45 |
Ruta Binkyte (CISPA, Germany)** Self-introduction of recent research on ML fairness research- Fairness and Causal Interpretability (Tentative title) |
| 17:45 - 17:50 | Short break |
| 17:50 - 18:40 |
Ruta Binkyte (CISPA, Germany)** Interactional Fairness in LLM-Multi-Agent Systems |
| 18:40 - 18:55 |
Kentaro Ozeki (Keio University, Japan) Evaluating Normative Reasoning in Large Language Models |
| 18:55 | Concluding remarks by the coordinators |
| 19:00 | Closing |
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ゲストスピーカー略歴/Short profiles of the guest speakers (*) Catuscia Palamidessi Inria and Ecole Polytechnique, LIX. Working on Privacy, Formal Methods, and ML-Fairness. 2022 - Awarded the Inria - French Academy of Sciences Grand Prize. (**) Ruta Binkyte Postdoctoral researcher in AI Ethics and Safety at the Helmholtz Centre for Information Security (CISPA). Her background in Social Anthropology and Computer Science enables her to tackle complex socio-technical trade-offs in AI. She received her Ph.D under Catuscia Palamidessi's supervision. |
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主催
慶應義塾大学 未来共生デザインセンター
お問い合せ
logic@abelard.flet.keio.ac.jp

