BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Princeton University Humanities Council - ECPv6.15.16//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Princeton University Humanities Council
X-ORIGINAL-URL:https://humanities.princeton.edu
X-WR-CALDESC:Events for Princeton University Humanities Council
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20200308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20201101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211026T163000
DTEND;TZID=America/New_York:20211026T180000
DTSTAMP:20260714T094756
CREATED:20210928T135353Z
LAST-MODIFIED:20210930T215946Z
UID:41101-1635265800-1635271200@humanities.princeton.edu
SUMMARY:Machine Predictions and Synthetic Text: A Roundtable on Large Language Models in the Humanities
DESCRIPTION:Since it was published in March 2021\, “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?” has sparked impassioned conversations on the unintended consequences and potential harms of prominent natural language processing (NLP) projects. While this groundbreaking paper has been influential in computer and data science—prompting reflection on the dangers of relying on poorly conceptualized and curated data—it is only beginning to be discussed by humanities scholars who use NLP methods in their research. \nFor this roundtable\, two co-authors of “Stochastic Parrots” will 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. \nPanelists \n— Angelina McMillan-Major (University of Washington\, Computational Linguistics)\n— Gimena del Rio Riande (University of Buenos Aires\, Romance Philology)\n— Lauren Klein (Emory University\, English and Quantitative Theory & Methods)\n— Margaret Mitchell (CEO & Research Scientist\, Ethical AI LLC)\n— Ted Underwood (University of Illinois\, Information Science) \nModerator \n— Toma Tasovac (DARIAH-EU) \nThis event is part of the NEH-funded New Languages for NLP project. \nRegistration: https://princeton.zoom.us/webinar/register/WN_a6GmM75jSMqeeontKuBJGQ
URL:https://humanities.princeton.edu/event/machine-predictions-and-synthetic-text-a-roundtable-on-large-language-models-in-the-humanities/
LOCATION:Zoom\, Princeton\, NJ\, 08544\, United States
ATTACH;FMTTYPE=image/jpeg:https://humanities.princeton.edu/wp-content/uploads/2021/09/parrot.original.jpg
ORGANIZER;CN="Camey VanSant":MAILTO:cvansant@princeton.edu
END:VEVENT
END:VCALENDAR