Lauren Goodlad

Lauren M. E. Goodlad is  Distinguished Professor of English and Comparative Literature, editor of Critical AI and chair of the Critical AI @ Rutgers as well as a faculty affiliate of the Center for Cultural Analysis (CCA), the Rutgers British Studies Center, and the Rutgers Center for Cognitive Science. 

Her grants in the emerging interdisciplinary field of critical AI studies and the teaching of critical AI literacies include an NEH international grant ("Unboxing AI') to create workshops and other programming in collaboration with partners at the Australian National University, DESIGN JUSTICE AI (a Global Humaniites Institute at the University of Pretoria in July 2024), DESIGN JUSTICE LABS (an NEH grant for the creation of a shared digital infrastructure for student- and community-centered teaching about and research on "generative AI"), and new NSF planning grant (in collaboration with lead-PI Matthew Stone) to research and explore design-oriented thinking in the terrain of teaching College Writing.

Goodlad's work in critical AI studies and the teaching of critical AI literacies, includes the editor's introduction to Critical AI, "Humanities in the Loop"; the introduction to DATA WORLDS (co-authored with Katherine Bode). With Matthew Stone (Computer Science) she edited a two-part special issue of Critical AI on Large Language Models, Generative AI, and the Rise of Chatbots  (April and October 2024).

As a specialist in Victorian and nineteenth-century literature and culture, Goodlad has research and teaching interests in genre studies; critical, feminist, postcolonial, and political theory; television and seriality studies; literature in relation to liberalism, globalization, and financialization; and critical AI studies. She has served as the chair of the MLA's TC History and Literature forum and a member of the advisory boards for Victorian Literature and Culture, Nineteenth-Century Gender Studies, and Victoriographies. 

Read Lauren Goodlad's recent "Humanist in the Loop" essay on the teaching of critical AI literacies, here.
 

Publications:

• Victorian ‘artificial intelligence’: Or what George Eliot teaches us about statistical modelling
• Doing AI differently: rethinking the foundations of AI via the humanities
• The Victorian Geopolitical Aesthetic: Realism, Sovereignty and Transnational Experience 

Organizations: 

• Critical AI @ Rutgers
• AI Advisory Council 
• CASS (Cyberinfrastructure for Science, Engineering, & Society). 

Previous Organizations: 

• University of Illinois
• Cornell University
• NYU
• Columbia University