Humanities for AI
Foregrounding the centrality of the humanities in the development, use, and interpretation of the field broadly known as “AI”
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About Humanities for AI
“Humanities for AI” is a series of projects, initiatives, and conversations that centers humanities values and approaches in the development, use, and interpretation of the field broadly known as “AI.”
While the discourse around AI often prioritizes innovation and acceleration, a humanistic perspective highlights continuities, explores context, and fosters critical engagement with algorithms, systems, data, and tools. At a time when the scale of AI is increasingly large, a humanistic approach values attention to smaller scales and a more deliberate pace. Humanities for AI seeks to equalize our understanding of technology with an extensive, and user-friendly, understanding of traditional humanities research topics. Just as we are experts in introducing computational thinking to humanities researchers, we are now committed to introducing humanistic thinking to researchers in AI.
Many of our activities explore how machine learning, natural language processing (NLP), and computer vision are both helping and challenging scholars in their goals of understanding and interpreting the human record. We emphasize the continued importance of the stages of the data science process such as data collection, curation, analysis, visualization, and interpretation. Additionally, we focus on the infrastructures —technical, human, and scholarly — required to enable, support, and sustain this work.
One of our guiding beliefs is that the relationship between the humanities and AI is reciprocal: while AI can open new doors to humanistic discovery, a humanistic approach is essential for creating more equitable, fair, and responsible technologies that will better serve our scholarship, communities, and societies. And humanities researchers are experts in context, linguistic nuance, style, character, translation, media history, and the long history of knowledge retrieval. We seek to equip humanities researchers to intervene and collaborate in fields they care about, since no field will be left untouched or unchanged by technological changes we are currently witnessing.
The overarching goal of Humanities for AI is to ensure that Princeton education and research in the field of AI is truly interdisciplinary, spanning departmental and divisional divides. Through external collaborations and partnerships with Princeton scholars, as well as partners at Stanford, Emory, the Author’s Alliance, and the Association for Computers in the Humanities, the Humanities for AI initiative will move the humanities to the center of the conversation about AI research in far reaching ways.
Contact CDH Assistant Director Jeri Wieringa to learn more and get involved with Humanities for AI.
Featured events and series
African Languages in the Age of AI (AAA) Speaker Series
Bringing leading scholars to Princeton to discuss the opportunities and challenges for developing technologies that empower African languages
A New Agenda for African Languages x AI: Everything, Everywhere, All At Once
Towards Multimodal, Multicultural, and Multilingual Understanding
Computational Approaches to Nigerian Literature: Analyzing Texts in Yoruba and Efik at DH2024
Princeton LLM Forum
Interdisciplinary conversations about the impact of LMMs on culture and society
Humanities Research for AI
New Languages for NLP: Building Linguistic Diversity in the Digital Humanities
Diversifying NLP by teaching humanists to create data and models for new languages
Princeton Open HTR Initiative
Establishing research infrastructures to support Princeton use of HTR for manuscripts and archival documents in a variety of languages and scripts
Infrastructure for African Languages
Increasing representation of African languages in NLP, LLMs, and AI
Text Technologies for Manuscript Cultures
Using emerging technologies to transform research, teaching and understanding of pre-modern evidence
Curriculum and pedagogy
New Languages for NLP: Building Linguistic Diversity in the Digital Humanities
Diversifying NLP by teaching humanists to create data and models for new languages
Humanities + Data Science Institute
A five-day intensive faculty seminar to explore the conceptual, practical and ethical aspects of data science
Humanities Data Teaching Fellows
Training humanities Graduate Students to create humanities course modules using data science approaches
Related publications and presentations
Private Signals, Opaque Models, and an AI-Surveillance World
6 May 2024
Reflections on the first LLM forum and a growing discomfort with content privacy in an AI-hungry world of monetized surveillance
Announcing Issue 3 of Startwords: “Parrots”
1 August 2022
Startwords Issue 3, “Parrots,” features three leading digital humanities researchers discussing the implications of “Stochastic Parrots” for humanities research employing NLP methods.
AI off the Rails
15 April 2022
CDH Faculty Director Meredith Martin responds to Emily M. Bender’s presentation on the paper “AI and the Everything in the Whole Wide World Benchmark” at recent Rutgers-ANU Data Ontologies workshop.