Welcome to "Machines and Society"! This platform serves as an entry point to resources on emerging topics where technology, information, and society intersect. Our collection of guides are tailored to address critical needs that arise from the use and consumption of information and data for users with all levels of experience with technology. When it comes to a technology or an approach, these guides attempt to answer four questions: What is it? How does it work? How to use it? How much can we trust it to help us?
The guides on this site encompass a wide range of topics.
Large Language Models introduces LLMs, offers practical knowledge of how to use them, summarizes their development, and discusses the social implications of LLMs.
Generative AI for Research and Creative Use provides resources, summaries, and examples of how to use generative AI for scholarly and creative purposes in academic settings. This section explores how to apply LLMs to data-driven research, application development, visual design, literature searching, all aimed at solving problems and enhancing productivity in one's life and work.
Emerging AI Tools for Teaching and Learning provides an overview and inventory of practical and innovative AI tools and technologies that are relevant to teaching and learning. It also includes summaries of local LLMs for text and image generation.
Generative AI and Society provides a variety of resources centered around generative AI and its implications for creativity, scientific discovery, and governance, including industry reports, books, papers, and the transcript of the panel discussions at NYU Shanghai events AI for Science, AI for Society, and A.I. Computes. But Does It Create?.
Computational Social Research provides an array of methodological and technical instruments as well as a collection of seminal studies from prominent areas within this dynamic field for reference and inspiration.
These guides are also accompanied by several ongoing series of information, data and AI literacy programs, curated by the NYU Shanghai Library. Join us on this journey of discovery and stay informed about the latest developments!
Yun Dai
Data Services Librarian
yun.dai@nyu.edu
Data Services | NYU Shanghai Library
Contributors
Utku Ege Tuluk
Senior Associate of Emerging Technologies
uet200@nyu.edu
Xinyi Zhu
Motion Graphics Designer/Animator
xz3366@nyu.edu
Ye Zhai
Reference and Research Services Librarian for Social Sciences & Economics
yz62@nyu.edu
Angela Wang
Digital Learning Manager
angela.wang@nyu.edu
Caitlin MacKenzie Mannion
Former Head of Reference & Instruction Services and Librarian for the Arts & Humanities
Henry Huang
Reference and Research Services Librarian for Business
yh4041@nyu.edu