Machine Predictions and Synthetic Text: A Roundtable

This roundtable invites two co-authors of the paper “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?” to speak with three leading digital humanities scholars about the implications of the article for humanities research employing NLP methods. Together, they will discuss how the authors’ attention to process (data gathering, documentation, standards) and ethics in AI can be turned to humanists creating data and models for the study of literature, history, and culture.

The event is part of the NEH-funded New Languages for NLP project and is co-sponsored by the Center for Statistics and Machine Learning at Princeton and DARIAH-EU.

Panelists

• Angelina McMillan-Major (University of Washington, Computational Linguistics)

• Gimena del Rio Riande (University of Buenos Aires, Romance Philology)

• Lauren Klein (Emory University, English and Quantitative Theory & Methods)

• Margaret Mitchell (CEO & Research Scientist, Ethical AI LLC)

• Ted Underwood (University of Illinois, Information Science)

Moderator

• Toma Tasovac (DARIAH-EU)

Register for the Zoom webinar.