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Register Now for TWO Free AI Technology Events

  • 1.  Register Now for TWO Free AI Technology Events

    Posted 09-06-2023 14:28

    In collaboration with regional SLA Communities and the SLA LMD Community, the NJ SLA Community would like to invite you to the following two free technology events that are part of an ongoing set of virtual discussions focusing on multiple contexts of AI tools as they exist now in our professional lives. Please register for both separately.

    September 19, 2023

    Webinar, 3pm to 4pm

    Presented by Emily Wild, Chemistry, Geosciences and Environmental Studies Librarian, Princeton University

    Using Artificial Intelligence Text and Image Generators and Machine Learning Tools in Library Instruction

    Artificial Intelligence (AI) and Machine Learning (ML) tools are exponentially increasing in availability and use within many subject areas. Using examples from chemistry, geosciences, and environmental studies, this session provides librarians with an overview of AI and ML for information discovery and dissemination during library instruction and research inquires.  

    Emily Wild is a Chemistry, Geosciences and Environmental Studies Librarian at the Princeton University Library. From 1996 to 2018, she was a hydrologist and librarian (physical scientist) at the U.S. Geological Survey. She has a Bachelor of Arts in Geology from Hartwick College and a Master of Library and Information Studies from the University of Rhode Island. Emily's scholarly interests include library instruction; reference, citation and data management; raw and geospatial datasets; and physical and laboratory sampling methods.

    Please register in advance for this meeting:

    September 26, 2023

    Keynote – 3pm to 4pm

    Presented by Jonathan Torres, Business and Data Services Librarian, Rutgers University, Newark

    The Convergence of AI Technologies, Librarianship, and Higher Education: A Strategic Approach to Understanding Artificial Intelligence and Developing Innovative Pedagogical Practices 

    The impact of Artificial Intelligence (AI) generative models on college students' learning and research methods is undeniable. In higher education, this technological advancement has significantly transformed pedagogical practices, leading to a new challenge for educators: distinguishing between AI assistance and students' course assignments. As a result, librarians and educators must ask themselves: How can higher education stay ahead of these recent changes in students' information-seeking behavior?

    This presentation aims to emphasize the importance of accountability in information curation with AI platforms. We will discuss effective pedagogical strategies that showcase the capabilities and limitations of ChatGPT, Bard, and other AI platforms. Furthermore, I will share how I have utilized AI platforms to teach business data and information literacy through real-life case studies that differentiate credible and non-credible information sources. The presentation stresses the significance of academic librarians and the entire field of library and information science staying abreast of the latest AI technology in higher education.

    Jonathan is the Business and Data Services Librarian specializing in teaching data and information literacy and statistical and data visualization software. He provides course-integrated and resource-specific instruction in business-based subject areas, develops, and delivers data-related workshops, and offers consultative support such as finding data sets, assisting with data analysis software, and data management planning for universities, government, and external organizations. Mr. Torres received an M.S. in library and information science and an M.A. and B.A. in labor studies and employment relations from Rutgers University-New Brunswick. Mr. Torres is a LEADING Fellow for the LIS Education and Data Science Integrated Network Group (LEADING) program.

    Jonathan is an accomplished keynote speaker who has presented at both national and international conferences for his research on bibliometrics and pedagogical practices utilizing AI-generated models, which has been published in peer-reviewed publications such as the Science & Technology Libraries and the Journal of Business & Finance Librarianship.

    Please register in advance for this meeting:


    Both events will be recorded and distributed to the participant list.

    Questions? Please contact Julie Peters at  

    Library Director
    Rutgers University - Carey Library