This section documents the events that NYU Shanghai Library organized or co-hosted that delved into the topics at the intersection of technology, information, and society.
Furthermore, this section covers the following topics and offers a range of resources on generative A.I. and its implications for our society, which complement the discussions held during the events.
The AI for Science event was part of the AI Forum Series, co-hosted by the NYU Shanghai Frontiers Science Center of Artificial Intelligence and Deep Learning and NYU Shanghai Library.
How critical is AI safety to humanity? What other aspects of human values are important for our society when developing language and multimodal models?
How to engage stakeholders who have been less visible in conversations in AI governance?
How would voices from diverse fields such as finance, education, law and engineering converge and complement each other?
Date
April 21, 2024
Opening remarks
Joanna Waley-Cohen, Provost, NYU Shanghai
Keynote speaker
Zhang Hongjiang, Foreign member of US National Academy of Engineering; Founding Chairman of Beijing Academy of Artificial Intelligence (BAAI)
Panel moderator
Tong Shijun, Chancellor, NYU Shanghai
Panelists
Shao Yilei, Professor, Dean, Shanghai Al-Finance School (SAIFS), East China Normal University
Lin Yonghua, Vice President and Chief Engineer of Beijing Academy of Artificial Intelligence (BAAI)
Hu Ling, Associate Professor of Law, Peking University
Wen Hongyi, Assistant Professor of Computer Science, NYU Shanghai
Transcript attached below.
The AI for Science event was part of the AI Forum Series, co-hosted by the NYU Shanghai Frontiers Science Center of Artificial Intelligence and Deep Learning and NYU Shanghai Library.
Why is AI changing scientific discovery? Why can some scientific problems be more effectively solved using AI technology?
What practical AI-based scientific applications can we expect in five years?
Will AI change our goals and purposes of education? What education would we need for people to thrive in society?
Date
March 23, 2024
Opening remarks
Joanna Waley-Cohen, Provost, NYU Shanghai
Keynote speaker
E Weinan, Member of the Chinese Academy of Sciences; Professor of the School of Mathematical Sciences, Peking University; Director of Center for Machine Learning Research, Peking University
Panel moderator
Jeffrey Lehman, Vice Chancellor, NYU Shanghai
Panelists
E Weinan, Member of the Chinese Academy of Sciences; Professor of the School of Mathematical Sciences, Peking University; Director of Center for Machine Learning Research, Peking University
Li Li, Professor of Neural Science and Psychology, Area Head of Neuroscience, NYU Shanghai; Global Network Professor, NYU
William Glover, Associate Director of the NYU-ECNU Center for Computational Chemistry at NYU Shanghai; Assistant Professor of Chemistry, NYU Shanghai
Cao Lina, Senior Expert, AI Team Director, China Telecom e-Surfing Company
Mathieu Laurière, Assistant Professor of Mathematics and Data Science, NYU Shanghai
Wang Haishuai, ZJU100 Young Professor of Computer Science, Zhejiang University
Transcript attached below.
This panel explored generative artificial intelligence and its implications for creativity, technology development, and business.
Are current generative A.I. models truly creative? How are concepts of "knowledge" and "thinking" different for humans and machines? What relevance is data and training for artists, when we talk about A.I. generated art? What are the consequences of these tools being distributed by giant tech companies? Can there be common ground amongst all stakeholders utilizing generative A.I. models? Where will the technology be in five years? Where is China in this landscape?
Date: April 12, 2023
Moderator: Jeffrey Lehman, Vice Chancellor, NYU Shanghai
Panelists: Gabrielle Chou, Christian Grewell, Monika Lin, Keith Ross, Wang Jing
Transcript attached below.
The week-long AI & U series explores, demonstrates, and reflects on generative AI, including its applications and social implications.
Fall 2024
AI for Literature Discovery
September 23, 2024
Instructor: Ye Zhai
This session demonstrates how various AI tools can potentially make the literature discovery process more efficient.
Trivia with AI
September 24, 2024
Organizers: Xinyi Zhu, Utku Tuluk, Yun Dai, Ye Zhai
Gaming, learning, and teaming up, this session introduces attendees to the cutting-edge generative AI through highly interactive trivia. Participants will be assigned to a group upon entry and work with team members to solve problems using generative AI on tasks from beginner to intermediate levels to win prizes.
GenAI Showcase and Meetup
September 25, 2024
Organizer: Adrian Hodge
LLM Application Development
September 26, 2024
Instructor: Utku Tuluk
Calling all students eager to explore OpenAI GPT and open-source Large Language Models (LLMs)! Join us as we dive into integrating these tools into your development workflows. To make the most of this session, please ensure you have some familiarity with coding in Python, as hands-on experience will involve writing code for tasks such as code generation and implementing Retrieval-Augmented Generation (RAG) for improved efficiency.
AI & Authorship
September 27, 2024
Organizers: Vanessa Lawrence, June Ke
How does generative AI affect academic citation and authorship? In this session, hosted by Librarian Vanessa Lawrence and GPS Fellow Dr. June Ke, we'll talk about academic standards for citation and credit. You'll get a chance to share your experiences as we think together about what generative AI means for academic writing and research.
Spring 2024
AI & aUthority: AI and Citations Discussion
March 4, 2024
Organizers: Vanessa Lawrence, Jay Ludowyke
This discussion-based event is hosted by Librarian Vanessa Lawrence and Clinical Assistant Professor Jay Ludowyke. The facilitators will begin the event by introducing some ideas about how generative AI and citation might intersect. Attendees will spend most of the session sharing their responses to these prompts and thoughts about AI and citation in a group discussion. In an age where AI is fundamentally reshaping content creation and professional discourses, students, researchers, and AI-curious minds will come together to understand, debate, and collaborate on ethical approaches to citation, attribution and authenticity.
Using Generative AI tools for Research
March 5, 2024
Instructors: Ye Zhai, Xinyi Zhu, Yun Dai, Fan Luo
This session demonstrates how various AI tools can make the research process more efficient and enjoyable, enhancing literature discovery, data visualization creation, and reading.
Uplifting Development: Integrating OpenAI GPT and Open Source LLM Models into Development Workflows
March 6, 2024
Instructor: Utku Tuluk
This event is for students and faculty eager to explore the integration of OpenAI GPT and open source Large Language Models (LLMs) into development workflows, highlighting their use in code generation, translation, and the application of Retrieval-Augmented Generation (RAG) for improved efficiency. It also includes a concise overview of LLM capabilities and their practical benefits.
Fall 2023
AI & aUthority: Citation & Generative AI Discussion
October 31, 2023
Organizers: Vanessa Lawrence, Jingsi Shen
This discussion-based event is hosted by Librarian Vanessa Lawrence and Clinical Assistant Professor Jingsi Shen. The facilitators will begin the event by introducing some ideas about how generative AI and citation might intersect. Attendees will spend most of the session sharing their responses to these prompts and thoughts about AI and citation in a group discussion. In an age where AI is fundamentally reshaping content creation and professional discourses, students, researchers, and AI-curious minds will come together to understand, debate, and collaborate on ethical approaches to citation, attribution and authenticity.
AI & Usage: ChatGPT Demos
November 1, 2023
Instructors: Utku Tuluk, Tim Wu, Xinyi Zhu, Yun Dai
This session explores and demonstrates how ChatGPT can be integrated and deployed for research, learning, and creative purposes in app development, data analysis, and visualization, leveraging the analytical and coding capabilities of the tool.
AI & YOU: Roleplay-based Discussion
November 2, 2023
Organizers: Ye Zhai, Fan Luo, Yun Dai
Join us for a game-based open discussion about generative AI and explore its implications on our society through role play. You are invited to think through how the novel and ubiquitous technology affect all walks of life by wearing others' hats.