"Critical Artificial Intelligence Librarian"

Position Purpose

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.

Required Qualifications - Education and Yrs Exp

Masters or equivalent combination of education and experience

Required Qualifications - Skills, Knowledge and Abilities

• ALA-accredited masters degree in library and/or information science, or an advanced subject or professional degree; 5+ years of relevant postgraduate experience
• Demonstrated experience working with a variety of machine learning or generative artificial intelligence tools in an academic context
• Demonstrated experience developing or implementing critical information literacy frameworks in curricular contexts
• Demonstrated ability to work independently and as a team member to solve problems
• Excellent oral and written communication skills
• Strong interpersonal skills
• Strong organizational skills; ability to prioritize tasks, manage time, and complete projects
• Experience and proficiency with effective teaching methods and practices

Preferred Qualifications

• Experience with information retrieval paradigms, especially semantic search
• Experience with using and developing generative artificial intelligence tools, associated tool chains, machine learning frameworks, and/or natural language processing (NLP) for projects; experience with database design and development
• Knowledge of statistical concepts and approaches in academic disciplines
• Willingness to learn new programming languages, statistical analysis tools or other relevant tools as needed
• 2+ years experience in data science work

Description

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.

Demonstrates a commitment to diversity, inclusion, and cultural awareness through actions, interactions, and communications with others.

Performs other duties as assigned.