Kido Takashi

Researcher Information

Affiliation

Center for General Education Professor

Degree

• Ph.D. (Computer Science)（1996/03 Keio Univerisity Faculty of Science and Technology）

URL

https://jglobal.jst.go.jp/detail?JGLOBAL_ID=202301002509762830

Research funding number

• 60567783

J-Global ID

• 202301002509762830

Research Interests

• Intelligent Informatic   Artificial Intelligence   Computer Science   

Research Areas

• Life sciences / Genomics
• Informatics / Intelligent informatics

Research Activity Information

Published Papers

• AI and Well-Being: Enhancing Health, Happiness and Cultural Understanding

  Takashi Kido

  Proceedings of the International Conference on Human-Computer Interaction (HCI 2024), Lecture Notes in Computer Science Springer Nature Switzerland 93 - 102 0302-9743 2024/12
• Evaluating Large Language Models with RAG Capability: A Perspective from Robot Behavior Planning and Execution.

  Jin Yamanaka; Takashi Kido

  AAAI Spring Symposia 452 - 456 2024/03 [Refereed]
  
• AI Health Agents: Pathway2vec, ReflectE, Category Theory, and Longevity.

  Melanie Swan; Takashi Kido; Eric Roland; Renato P. dos Santos

  AAAI Spring Symposia 426 - 433 2024/03 [Refereed]
  
• The Challenges for GenAI in Social and Individual Well-Being.

  Takashi Kido; Keiki Takadama

  AAAI Spring Symposia 365 - 367 2024/03
• Post-event Proceedings of the AAAI Spring Symposium: Socially Responsible AI for Well-being (AAAI-SRAI 2023) co-located with Association for the Advancement of Artificial Intelligence 2023 Spring Symposium (AAAI-Spring Symposium 2023), Hyatt Regency San Francisco Airport (Hybrid), March 27-29, 2023.

  AAAI Spring Symposium: SRAI CEUR-WS.org 3527 2023/03
• The Challenges for Socially Responsible AI for Well-being

  Takashi Kido; Keiki Takadama

  CEUR Workshop Proceedings 3527 1 - 3 1613-0073 2023/03
• Math Agents: Computational Infrastructure, Mathematical Embedding, and Genomics.

  Melanie Swan; Takashi Kido; Eric Roland; Renato P. dos Santos

  CoRR abs/2307.02502 2023
• Proceedings of the Symposium How Fair is Fair? Achieving Wellbeing AI co-located with Association for the Advancement of Artificial Intelligence 2022 Spring Symposium (AAAI-Spring Symposium 2022), Stanford, CA, March 21-23, 2022.

  AAAI Spring Symposium: HFIF CEUR-WS.org 3276 2022/03
• The Challenges for Fairness and Well-being - How Fair is Fair? Achieving Well-being AI - How F

  Takashi Kido; Keiki Takadama

  CEUR Workshop Proceedings 3276 1 - 3 1613-0073 2022/03
• Proceedings of the Symposium Interpretable AI for Well-being: Understanding Cognitive Bias and Social Embeddedness co-located with Association for the Advancement of Artificial Intelligence 2019 Spring Symposium (AAAI-Spring Symposium 2019), Stanford, CA, March 25-27, 2019.

  AAAI Spring Symposium: Interpretable AI for Well-being CEUR-WS.org 2448 2019/03
• The Challenges for Interpretable AI for Well-being.

  Takashi Kido; Keiki Takadama

  Proceedings of the Symposium Interpretable AI for Well-being: Understanding Cognitive Bias and Social Embeddedness co-located with Association for the Advancement of Artificial Intelligence 2019 Spring Symposium (AAAI-Spring Symposium 2019) CEUR-WS.org 2019/03
• Reports of the AAAI 2019 spring symposium series

  Ioana Baldini; Clark Barrett; Antonio Chella; Carlos Cinelli; David Gamez; Leilani H. Gilpin; Knut Hinkelmann; Dylan Holmes; Takashi Kido; Murat Kocaoglu; William F. Lawless; Alessio Lomuscio; Jamie C. Macbeth; Andreas Martin; Ranjeev Mittu; Evan Patterson; Donald Sofge; Prasad Tadepalli; Keiki Takadama; Shomir Wilson

  AI Magazine 40 (3) 59 - 66 0738-4602 2019/03
• The challenges for interpretable AI for well-being -understanding cognitive bias and social embeddedness-

  Takashi Kido; Keiki Takadama

  CEUR Workshop Proceedings 2448 1613-0073 2019/03
• The challenges for understanding cognitive bias and humanity for well-being AI — Beyond machine intelligence

  Takashi Kido; Keiki Takadama

  AAAI Spring Symposium - Technical Report 2018-March 237 - 238 2018/03
• Are minor alleles more likely to be risk alleles?

  Takashi Kido; Weronika Sikora-Wohlfeld; Minae Kawashima; Shinichi Kikuchi; Naoyuki Kamatani; Anil Patwardhan; Richard Chen; Marina Sirota; Keiichi Kodama; Dexter Hadley; Atul J. Butte

  BMC Medical Genomics 11 (1) 2018/01
• Reports on the 2018 AAAI spring symposium series

  Christopher Amato; Haitham Bou Ammar; Elizabeth Churchill; Erez Karpas; Takashi Kido; Mike Kuniavsky; W. F. Lawless; Frans A. Oliehoek; Francesca Rossi; Stephen Russell; Siddharth Srivastava; Keiki Takadama; Philip Van Allen; K. Brent Venable; Karl Tuyls; Peter Vrancx; Shiqi Zhang

  AI Magazine 39 (4) 29 - 35 0738-4602 2018
• Reports on the 2017 AAAI spring symposium series

  Jeannette Bohg; Xavier Boix; Nancy Chang; Vivian Chu; Elizabeth F. Churchill; Fei Fang; Jerome Feldman; Avelino J. González; Takashi Kido; William F. Lawless; José L. Montaña; Santiago Ontañón; Jivko Sinapov; Don Sofge; Luc Steels; Molly Wright Steenson; Keiki Takadama; Amulya Yadav

  AI Magazine 38 (4) 99 - 106 0738-4602 2017/12
• Estimation of the risk of a qualitative phenotype: Dependence on population risk

  Naoyuki Kamatani; Shigeo Kamitsuji; Yasuaki Akazawa; Takashi Kido; Masanori Akita

  Journal of Human Genetics 62 (2) 191 - 198 1434-5161 2017/02
• Wellbeing AI invited speaker abstracts

  Takashi Kido; Keiki Takadama

  AAAI Spring Symposium - Technical Report SS-17-01 - SS-17-08 751 - 752 2017
• Reports of the aaai 2016 Spring Symposium Series

  Christopher Amato; Ofra Amir; Joanna Bryson; Barbara Grosz; Bipin Indurkhya; Emre Kiciman; Takashi Kido; W. F. Lawless; Miao Liu; Braden McDorman; Ross Mead; Frans A. Oliehoek; Andrew Specian; Georgi Stojanov; Keiki Takadama

  AI Magazine 37 (4) 83 - 88 0738-4602 2016/12
• Machine learning and personal genome informatics contribute to happiness sciences and wellbeing computing

  Takashi Kido; Melanie Swan

  AAAI Spring Symposium - Technical Report SS-16-01 - 07 362 - 368 2016/03
• Ambient Intelligence and Crowdsourced Genetics for Understanding Loss Aversion in Decision Making

  Takashi Kido; Melanie Swan

  AAAI Spring Symposium - Technical Report SS-15-01 19 - 27 2015/03
• Reports on the 2015 AAAI Spring Symposium Series.

  Nitin Agarwal; Sean Andrist; Dan Bohus; Fei Fang 0001; Laurie Fenstermacher; Lalana Kagal; Takashi Kido; Christopher Kiekintveld; William F. Lawless; Huan Liu 0001; Andrew McCallum; Hemant Purohit; Oshani Seneviratne; Keiki Takadama; Gavin Taylor

  AI Magazine 36 (3) 113 - 119 2015
• Reports of the 2014 AAAI spring symposium series

  Manish Jain; Albert Xin Jiang; Takashi Kido; Keiki Takadama; Eric G. Mercer; Neha Rungta; Mark Waser; Alan Wagner; Jennifer Burke; Don Sofge; William Lawless; Mohan Sridharan; Nick Hawes; Tim Hwang

  AI Magazine 35 (3) 70 - 76 0738-4602 2014/09
• Know thyself: Data driven self-awareness for understanding our unconscious behaviors - Citizen science genetics for sleep and wellness research

  Takashi Kido; Melanie Swan

  AAAI Spring Symposium - Technical Report SS-14-01 23 - 28 2014/03
• Committees.

  Takashi Kido

  2014 AAAI Spring Symposia AAAI Press 2014
• Systematic evaluation of personal genome services for Japanese individuals

  Takashi Kido; Minae Kawashima; Seiji Nishino; Melanie Swan; Naoyuki Kamatani; Atul J. Butte

  Journal of Human Genetics 58 (11) 734 - 741 1434-5161 2013/11
• Exploring the mind with the aid of personal genome - Citizen science genetics to promote positive weil-being

  Takashi Kido; Melanie Swan

  AAAI Spring Symposium - Technical Report SS-13-03 12 - 17 2013/03
• Reports of the 2013 AAAI Spring Symposium Series

  Vita Markman; Georgi Stojanov; Bipin Indurkhya; Takashi Kido; Keiki Takadama; George Konidaris; Eric Eaton; Naohiro Matsumura; Renate Fruchter; Don Sofge; William F. Lawless; Omid Madani; Rahul Sukthankar

  AI Magazine 34 (3) 93 - 98 0738-4602 2013
• Preface

  Takashi Kido; Keiki Takadama

  AAAI Spring Symposium - Technical Report SS-13-03 2013

Books etc

• Data driven wellness : from self-tracking to behavior change : papers from the AAAI Spring Symposium

  AAAI Spring Symposium; 城戸, 隆; 高玉, 圭樹 AAAI Press 2013 9781577356004 xii, 82 p.
• Self-tracking and collective intelligence for personal wellness : papers from the AAAI Spring Symposium

  AAAI Spring Symposium; 城戸, 隆; 高玉, 圭樹 AAAI Press 2012 9781577355540 xii, 70 p.
• ぼくはどんなふうに生きるのだろうか : ゲノムが解き明かす自分さがし

  城戸, 隆 星の環会 2011/07 9784892945113 165p, 図版 [2] p

MISC

• AAAI 23 Spring Symposium Report on “Socially Responsible AI for Well-Bing”

  Takashi Kido; Keiki Takadama  AI Magazine  44-  (2)  211  -212  2023/06
• マイナーアリルはリスクアリルになりやすいのか?-疾患リスクアレルの頻度解析と進化論-

  城戸隆; 鎌谷直之  日本人類遺伝学会大会プログラム・抄録集  67th (CD-ROM)-  2022
• 質的表現型リスク予測理論の問題点と解決法

  鎌谷直之; 鎌谷直之; 上辻茂雄; 赤澤靖章; 城戸隆; 秋田正倫  日本遺伝子診療学会大会プログラム・抄録集  23rd-  2016
• 疾患リスクアレル頻度の統計数理分析と進化論的考察

  城戸隆; 川嶋実苗; 川嶋実苗; 菊地進一; 鎌谷直之  日本人類遺伝学会大会プログラム・抄録集  60th-  2015
• 生殖細胞系列遺伝学的検査の臨床応用 4.生活習慣病の遺伝学的検査・DTC 3)パーソナルゲノムサービスの科学的吟味

  鎌谷直之; 鎌谷直之; 城戸隆  遺伝子医学MOOK  (28)  2015
• ゲノム医療を支える技術開発 パーソナルゲノム医療の科学的根拠

  城戸隆; 鎌谷直之; 鎌谷直之  医学のあゆみ  250-  (5)  2014
• 個人ゲノムを用いた疾患リスク予測と人種差に関する数理的考察

  城戸隆; 城戸隆; 菊地進一; 川嶋実苗; 川嶋実苗; 鎌谷直之  日本遺伝子診療学会大会プログラム・抄録集  21st-  2014
• 個人ゲノムにおけるリスク推定の数理的考察

  城戸隆; 川嶋実苗; 鎌谷直之  日本人類遺伝学会大会プログラム・抄録集  57th-  2012
• Whole Genome Genotypingデータを用いたX染色体上SNPのクラスタリング手法の改良

  神山真人; 城戸隆; 鷲尾尊規; 斎藤督; 河原三紀郎; 塚原祐輔; 久保充明; 鎌谷直之  日本人類遺伝学会大会プログラム・抄録集  55th-  2010

Awards & Honors

• 2019/07 日本人工知能学会 AI ELSI賞 最終候補