Critical Artificial Intelligence Librarian

Hanover, NH

The Critical Artificial Intelligence Librarian accelerates the Dartmouth Libraries engagement with advanced machine learning technologies and their relevant ethical, practical, and educational implications. This expert fosters critical AI literacies by helping Dartmouth students learn how to evaluate AI-inflected systems and information tools, understand the limitations and biases of these systems, appreciate the affordances of referential and inferential information paradigms, and, when appropriate, use these systems responsibly. This person also plays a key role in navigating the academic and ethical considerations surrounding AI, such as privacy, citation, intellectual property, state and industrial policies, misuse, differential access, and sustainability. Building on these core functions, the Critical Artificial Intelligence Librarian will partner with colleagues across and beyond the Dartmouth Libraries to create resources, design and deliver curriculum-aligned instruction, and develop exploratory environments that empower students to explore open and local approaches to artificial intelligence.

This is a 3 year term position. It is a hybrid work location eligible position.

Dartmouth College is an equal opportunity employer under federal law. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications are welcome from all.

Employment in this position is contingent upon consent to and successful completion of a pre-employment background check, which may include a criminal background check, reference checks, verification of work history, conduct review, and verification of any required academic credentials, licenses, and/or certifications, with results acceptable to Dartmouth College. A criminal conviction will not automatically disqualify an applicant from employment. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.

This position is a 36-month term position.
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AVAILABLE TO DARTMOUTH COLLEGE LIBRARY WORKERS UNION MEMBERS ONLY DURING THE FIRST WEEK OF POSTING. AFTER ONE WEEK IT IS OPEN TO THE GENERAL PUBLIC AND OTHER MEMBERS OF THE DARTMOUTH COMMUNITY.

In cooperation with appropriate colleagues across the Libraries and relevant Dartmouth partners, lead the development of curriculum-aligned information literacy instructional modules focused on the emergent information landscape, especially generative artificial intelligence. Collaborate as appropriate with other librarians (especially from the Teaching and Learning Program, research and learning teams, and Research Facilitation department) and colleagues from across Dartmouth (Dartmouth Center for Advancement of Learning, Learning Design and Innovation, Research Computing, faculty/program directors in the various schools, etc.) to deliver these modules to undergraduate students, graduate students, and professional students.

Working with the Learning and Engagement Librarian and relevant partners, develop and refine a suite of multimodal information literacy resources for a variety of Dartmouth student populations that provide guidance around and methods for engaging with information systems marked by uncertainty (large language models, misinformation campaigns, fragmented social media environments, etc.).

As part of the effort to establish a broader digital scholarly methods environment, develop a program where students can apply machine learning models and local inference to library-facilitated collections, corpora, and diverse cultural datasets. As appropriate, support related efforts across Dartmouth to thoughtfully explore the application of artificial intelligence in learner-centered contexts.

In cooperation with appropriate colleagues across the Libraries, develop and maintain an ongoing AI fundamentals training programs for all Libraries staff.

Through connections to relevant professional and Dartmouth-connected communities, stay informed about the evolving landscape of machine learning models, emergent information systems, ethics, policies, and regulations, including issues related to data privacy, bias, and transparency. Share updates, developments, possibilities, and concerns through participation in the Dartmouth Libraries AI working group and relevant Dartmouth efforts.