Yuri Nakao
@nkw_en
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HCI Researcher @Fujitsu_Global / PhD student in the Univ. of Tokyo @UTokyo_News_en HCI / STS / RRI / AI Fairness / recommendation @[email protected]
Japan
Joined January 2017
All social activities start from informing and end with informing. The only way to solve social problems is to inform well.
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The title of the paper is "Reflexive Co-Design: A Participatory Design Protocol for Socially Responsible Information Technology Based on Responsible Research and Innovation." I tried to connect Co-Design and Responsible Research and Innovation, focusing on web search technology.
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My paper has been published in the International Journal of Human-Computer Studies. You can download it for free for 50 days (until August 3) at the following link.
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Last Friday, I joined the launch event of RAIUK keystone project, PHAWM @PHAWM_project . Great experience and exciting talks! I found an interesting icon like myself 😆
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Today, I gave a presentation as an invited speaker at the ECCV 2024 Workshop - The Dark Side of Generative AIs and Beyond https://t.co/v07b7iORVm. I'm happy to share our ideas about the societal/ethical effect of GenAI.
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I am pleased to announce that I have become a member of the panel of experts for measures/laws on AI to be established by the Japanese government. The Prime Minister has presented four principles regarding the discussion in the panel. https://t.co/W5ayJEI9QX
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📣We are organizing ECCV WS "Dark Side of GenAI and Beyond"! Anyone who wanna discuss ethical & social implications of gen AI and their mathematical remedies is encouraged to join. Please spread the word! Poster Date: Sep 29@Milano🇮🇹 Abst Deadline: Jul 31 https://t.co/kCKklAmASa
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A co-authored paper published in the ACM Journal on Responsible Computing examines, through crowdsourcing, when and who non-experts think should be involved in the development of AI systems. https://t.co/72K77DRot3
dl.acm.org
Artificial Intelligence (AI) is increasingly used in mainstream applications to make decisions that affect a large number of people. While research has focused on involving machine learning and...
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[note] I was not interviewed for this article and my words seem to refer to what I stated in other articles.
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I don't know how close we can get to the final goal by continuing our research, but I would be more than happy if it is introduced in various places and the circle of people who think about how to support the difference expands.
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In a world where advanced and huge technological service, such as generative AI, are brought mainly from the U.S., how to support the differences in values among countries, regions, and cultures is a big research theme. Fairness is a concept with such differences.
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I found that a web article in Forbes shares research that compares AI fairness among the UK, the US, and Japan, which was conducted by @DrSimoneStumpf and our team members around 2020. https://t.co/KXw8g0dnf9 Thank you for giving me such an opportunity!
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There has been a massive earthquake in Japan, but I am safe. I am hoping for the earliest safety of the people affected by the disaster.
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Read 2022 Best Paper Award of ACM TiiS: "Toward Involving End-users in Interactive Human-in-the-loop AI Fairness" by Yuri Nakao, Simone Stumpf, Subeida Ahmed, Aisha Naseer, Lorenzo Strappelli. https://t.co/wq4NUkkaT2
@ACMTiiS @nkw_en @DrSimoneStumpf
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In addition to the fairness study, the press release says that Fujitsu's AutoML technology has also decided to be started as an OSS project. I'm also happy with that!
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After the publication of our paper in 2021, many people made efforts to start this project. When I heard the decision to start of the project, I was so happy that I had goosebumps. I'm surprised because I never expected our research to become a contributor to the OSS.
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The Linux Foundation has officially started to host an open source project about the intersectional bias, which we have been researching. I am very grateful to everyone involved!
fujitsu.com
Fujitsu and the Linux Foundation launch Fujitsu's automated machine learning and AI fairness technologies as Linux Foundation hosted open source projects
In the figure below, no non-white female candidates are accepted in a loan decision, but there doesn't seem to be any discrimination when only one attribute is considered.
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This TiiS Best Paper Award is announced in the current issue. Thank you! https://t.co/iXDjM6MOXN
@DrSimoneStumpf
dl.acm.org
Yesterday, our paper won the TiiS 2022 Best Paper Award! "Toward Involving End-users in Interactive Human-in-the-loop AI Fairness" https://t.co/QN8BRu9Nel I thank to @DrSimoneStumpf and our team members!
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Yesterday, our paper won the TiiS 2022 Best Paper Award! "Toward Involving End-users in Interactive Human-in-the-loop AI Fairness" https://t.co/QN8BRu9Nel I thank to @DrSimoneStumpf and our team members!
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I'll let you in on a secret... Most discussion sections are the reason your paper gets rejected. Here are 7 tips for how to make your discussion review-proof. ↓
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