CSIG-VIS International Lecture Series 22
Dr.Michelle Zhou | Democratizing Al: Challenges and Opportunitiesof Enabling No-Code, Reusable Al


Speaker: Dr.Michelle Zhou

A co-founder and CEO of Juji, Inc.

Topic: Democratizing AI: Challenges and Opportunities of Enabling No-Code, Reusable AI

Time: November 4, 2022 10:00-11:30 Beijing time (UTC/GMT+08:00)

Abstract: Artificial Intelligence (AI) is meant to augment humankind and scale out scarce resources (e.g., human time and effort) by automating many tasks that humans are not good at doing or do not like to do. With the rapid advances of AI technologies and their applications, it is inevitable AI would become a big part of our personal and professional lives. However, creation of AI is non-trivial as it requires AI expertise, sophisticated software engineering, not to mention extensive computational resources. While individuals and organizations wish to enlist AI’s help, not every individual or organization has the required skills or financial resources to create their own AI solutions. In this talk, Michelle will use the development of Cognitive AI Assistants as an example to present the challenges and opportunities of enabling no-code, reusable AI. Specifically, she will share real-world challenges, highlight the state-of-the-art advances, and explain the roles that people in different fields could play on the road to democratizing AI.

Speaker Bio: Dr. Michelle Zhou is a co-founder and CEO of Juji, Inc., the maker of the world’s only accessible, cognitive artificial intelligence (AI) assistants, which enable businesses to automate human-interaction tasks empathetically and responsibly with no code. Prior to starting Juji, Michelle led and managed the research and development of cutting-edge, interactive intelligent technologies and solutions at IBM Research/Watson, including IBM RealHunter and Watson Personality Insights. Michelle's work has resulted in a dozen widely used products or solutions, over 100 scientific publications, and 45 issued/filed patents, all in the interdisciplinary field of Human-Centered AI that intersects of AI and Human-Computer Interaction. Currently, Michelle also serves as the Editor-in-Chief for ACM Transactions on Interactive Intelligent Systems (TiiS). She received a Ph.D. in Computer Science from Columbia University and is an ACM Distinguished Scientist.

Live Stream： https://live.bilibili.com/26332543

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Session Chair: Prof. Xiaoru Yuan

Beijing University







About Us

Webpage: http://chinavis.org/lectures/english/index_en.html
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About CSIG-VIS

The China Society of Image and Graphics, Technical Committee on Visualization and Visual Analytics (CSIG-VIS) is the first technical committee on visualization and visual analytics in China. The technical committee aims to develop a communication platform for stakeholders in academia and industry, to discuss the trends and opportunities in the era of big data, to promote the discipline development and talent cultivation, to push forward the research and applications in the related disciplines, and ultimately to build a sustainable ecosystem involving industry, universities, and other research institutes. The technical committee, officially established on December 23, 2017, already attracts more than 100 members from various affiliations, including domestic and international universities and companies.

About The CSIG-VIS International Lecture Series

The CSIG-VIS International Lecture Series, launched by the China Society of Image and Graphics, Technical Committee on Visualization and Visual Analytics, invites renowned experts to share their visions of the research trends and latest progress in visualization. These biweekly lectures are conducted in Thursday, and please refer to http://chinavis.org /lectures/english/index_en.html for details.