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Toda Lab
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A lab working on testing, verification, and logical reasoning to realize trustworthy AI.

AboutAbout the lab
Toward trustworthy AI that society can accept.
The lab studies methods for testing and verifying whether AI learned from data satisfies expected properties.
Using formal methodologies based on logical reasoning as well, it aims to realize quality evaluation techniques for AI that humans can understand and trust, and highly transparent models.
Behind this are issues such as misrecognition caused by slight noise (lack of robustness) and bias regarding gender and race (lack of fairness).
After joining the lab, students learn the basics from introductory articles and books, and narrow down their topic in consultation with the faculty.
Key terms
- Robustness
- The property of AI being resistant to misrecognition even when slight noise is added
- Fairness
- The property of AI making unbiased decisions, without bias regarding gender, race, and the like
- Logical reasoning
- A method of drawing conclusions step by step from fixed rules. In this lab, it is used in formal methodologies
ResearchResearch themes
The lab aims to realize trustworthy AI that is accepted by society, not merely AI that is highly accurate. The main research keywords are AI robustness and fairness, explainability and transparency, ethics, privacy, security, testing and verification, logical reasoning, discrete structures, and algorithms.
View More ↗MembersFaculty
The lab's members consist of faculty, and doctoral, master's, and undergraduate students.
- Faculty memberTakahisa Toda
VoicesStudent voices
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Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Zoox Toyota Highlander Test Vehicle - San Francisco, May 2025 08” 9yz / CC BY 4.0 (cropped)
- Quality Evaluation and Transparency of AI: “Magnifying glass” Tomomarusan / CC BY 2.5 (cropped)
- Related lab (岩﨑 敦 研究室): “Otago Farmers Market main carpark stalls 13 Dec 2025” DrThneed / CC BY 4.0 (cropped)
- Related lab (織田 健 研究室): “TestingCup-Polish-Championship-in-Software-Testing-Katowice-2016” Radosław Smilgin / CC BY-SA 3.0 (cropped)
- Related lab (小宮 常康 研究室): “Source code in C” Romainhk / CC BY-SA 3.0 (cropped)
- Related lab (伊藤 大雄・三重野 琢也 研究室): “Set of various puzzles” Lpele / CC BY-SA 4.0 (cropped)
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