2023.May.15
EVENTSThe 2nd BAIRAL Research Meeting for 2023
“Information Design to Reduce Cognitive Bias: Visualization of User Generated Opinions”
◇BAIRAL（B’AI RA League）
BAIRAL is a study group by young research assistants (RA) of the B’AI Global Forum of the Institute for AI and Beyond at the University of Tokyo. Aiming to achieve gender equality and a guarantee of rights for minorities in the AI era, this study group examines relationships between digital information technology and society. BAIRAL organizes research meetings every other month with guest speakers in a variety of fields.
◇Date & Venue
・Date: Thursday, June 22, 2023, 3:00-4:30 pm (JST)
・Venue: Zoom Meeting（No registration required）
・Language: Japanese
◇Guest Speaker
Makiko Harada (RPD, Japan Society for the Promotion of Science; Project Researcher, Interfaculty Initiative in Information Studies, The University of Tokyo)
◇Abstract
Today, all kinds of information are available on the Internet. However, it is believed that humans have various biases when searching for and recognizing information. There is a concern that obtaining information with a bias may cause people to only interpret information in a way that is convenient for themselves, or may encourage the acquisition of incorrect or low quality information.
The presenter is conducting research focusing on data from Twitter, where small opinions of the masses that are not easily reported in the mass media are posted.
To address these issues of information retrieval and awareness, the presenter aims to reduce bias and promote awareness of the outside of consciousness by analyzing the text of search results and presenting the data in a way that is different from existing user interface (UI).
The presenter’s previous works include the extraction of emotion from search results and visualization based on emotional coloring, and English-Japanese-Spanish cross-search and visualization of keyword extraction results. She has also developed applications such as a visualization of the transition of search engine search prediction candidates to support general search. All of these examples are characterized by their ingenious use of expressions that lead to the idea of “why” rather than “I see” from the search results.
In this presentation, we hope to provide an opportunity to look at the world from a new perspective through the introduction of these works. We hope that they will help us to deepen our understanding of social diversity and various issues, and to find better solutions.
◇Organizer
B’AI Global Forum, Institute for AI and Beyond at the University of Tokyo
◇Inquiry
Masao Oi (Research Assistant of the B’AI Global Forum)
oi-masao519[at]g.ecc.u-tokyo.ac.jp (Please change [at] to @)
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